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Schön, Dietmar, and Miguel Liebe. "Integrierte Planung und Reporting mit Business-Intelligence-gestütztem Controlling." Controlling 26, no. 4-5 (2014): 244–51. http://dx.doi.org/10.15358/0935-0381_2014_4-5_244.
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Preuß, Thomas, Dirk Nölken, and Frank Kusterer. "Controlling für eine Industrie- und Handelskammer." Controlling 31, no. 4 (2019): 14–21. http://dx.doi.org/10.15358/0935-0381-2019-4-14.
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Der CFO einer IHK wird zunehmend zum strategischen Partner der Führungskräfte sowie zum betriebswirtschaftlichen Dienstleister einer IHK-Organisation und deren Kunden. Ein Kunden- und Leistungs-Controlling auf Basis einer neuen Business-Intelligence Lösung bildet dabei ein wesentliches Instrument der Informationsversorgung.
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Koehler, Jana. "Business Process Innovation with Artificial Intelligence: Levering Benefits and Controlling Operational Risks." European Business & Management 4, no. 2 (2018): 55. http://dx.doi.org/10.11648/j.ebm.20180402.12.
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Winter, Fabian, and Gerald Butterwegge. "Business Intelligence bei der NORMA Group: von den Fachbereichen ins IT-Controlling." Wirtschaftsinformatik & Management 10, no. 3 (June 2018): 16–19. http://dx.doi.org/10.1007/s35764-018-0051-8.
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Growe, Alexander, Marco Boehle, and Dietmar Schön. "BI-gestütztes Controlling-Cockpit für den Unternehmensbereich IT." Controlling 32, no. 3 (2020): 80–85. http://dx.doi.org/10.15358/0935-0381-2020-3-80.
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Aufgrund der sich verändernden Rolle der Unternehmens-IT hin zum Innovationstreiber kommt dem IT-Controlling eine zunehmend größere Bedeutung zu. Das hier vorgestellte Business-Intelligence-gestützte Controlling-Cockpit zeigt auf, wie durch eine auf die Anforderungen des Unternehmens abgestimmte Kennzahlenübersicht die Analyse und Steuerung des IT-Bereichs unterstützt werden kann.
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Amini, Mehran, Sara Salimi, Farid Yousefinejad, Mohammad J. Tarokh, and Sayyed M. Haybatollahi. "The implication of business intelligence in risk management: a case study in agricultural insurance." Journal of Data, Information and Management 3, no. 2 (May 22, 2021): 155–66. http://dx.doi.org/10.1007/s42488-021-00050-6.
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AbstractThe increasing data scales in today’s business sectors coupled with the necessity of risk management raise the importance of business intelligence tools as an integrated solution for the insurance industry. These tools have mostly been used to achieve effective risk management. Although methods of risk management in the insurance industry have been proposed many years ago, the research effort has primarily been focused on predictive analyses. This study aimed to investigate the role of business intelligence as a solution to illustrate its potential in risk management particularly for decision-makers in agricultural insurance. We hypothesized that this would make a preferable decision in uncertain conditions. Sample data from the online transaction process system of Iran agricultural insurance fund were preprocessed in SQL server. Multidimensional online analytical processing architecture was analyzed using Targit business intelligence tool. Our results identified financial risks that lead to a framework of controlling risk based on business intelligence in the agricultural insurance fund.
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Schön, Dietmar, and Bernd Springenberg. "Planung und Steuerung im Controlling-Cockpit der TPPG, ein mittelständisches Handelsunternehmen." Controlling 31, no. 4 (2019): 29–37. http://dx.doi.org/10.15358/0935-0381-2019-4-29.
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Mittelständische Unternehmen benötigen zur erfolgreichen Unternehmenssteuerung leistungsfähige IT-gestützte Controlling-Systeme. Excel und andere suboptimale Systeme müssen konsequent durch Business-Intelligence-Technologie abgelöst werden. Hierzu zählt ein solides Datawarehouse und ein leistungsfähiges Frontend. Dieser Beitrag zeigt am Beispiel der Ter Plastic Polymer Group auf, welche Faktoren zu einer erfolgreichen Umsetzung eines BI-gestützten Controlling-Cockpits notwendig sind.
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Bley, Christopher, Alexander Giesel, Uwe Munk, and Franca Ruhwedel. "Big Data & Co." Controlling 33, no. 1 (2021): 58–66. http://dx.doi.org/10.15358/0935-0381-2021-1-58.
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Die Einführung von auf „Big Data“ basierenden Business Intelligence-Lösungen greift tief in Prozessabläufe und Organisationsstrukturen ein und stellt das Controlling vor große Herausforderungen. Wissen über die IT-Strategie, die IT-Architektur und die Leistungsfähigkeit von Softwarelösungen ist erforderlich, damit der Controller den Implementierungsprozess als „Business Partner“ maßgeblich mitgestalten kann.
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Hamid, Siti Fazilah, and Noormala Amir Ishak. "Emotional Intelligence on Career Satisfaction." Journal of International Business, Economics and Entrepreneurship 4, no. 1 (June 30, 2019): 55. http://dx.doi.org/10.24191/jibe.v4i1.14417.
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Emotional intelligence (EI) describes the ability, capacity, skill, or self-perceived ability to identify, assess, and manage the emotions of one’s self, of others, and of groups. People who possess a high degree of EI know themselves very well and are also able to sense the emotions of others. They are affable, resilient, and optimistic. There are positive associations between EI and career satisfaction (CS). For example, the literature showed satisfaction with work has demonstrated a considerable impact on success in life and in overall psychological wellbeing. Controlling our emotions and expressing it adequately can make a difference in business. Therefore, this paper reviews the influence of EI on CS. Data were collected using a questionnaire conducted on online entrepreneurs. The data were analyzed using SPSS Version 23 and Structural Equation Modeling (SmartPLS).
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Cole, Matthew L., John D. Cox, and Jacqueline M. Stavros. "Building collaboration in teams through emotional intelligence: Mediation by SOAR (strengths, opportunities, aspirations, and results)." Journal of Management & Organization 25, no. 02 (November 7, 2016): 263–83. http://dx.doi.org/10.1017/jmo.2016.43.
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AbstractIn today’s global business environment teams are fast becoming the norm. Collaboration is an essential factor in leveraging team effectiveness, and organizations are looking for strategies to increase collaboration among their teams. In this study, we administered an eSurvey to 308 professionals working in face-to-face and virtual teams to investigate emotional intelligence and strengths, opportunities, aspirations, and results as strategies to support the collaborative process. Results found the regression of collaboration on emotional intelligence (controlling for age, ethnicity, and education) was significant (p<.01). Results also found a significant indirect effect between emotional intelligence and collaboration as mediated by strengths, opportunities, aspirations, and results (β=0.110,Z=2.444). We focus on understanding the effect of emotional intelligence on team collaboration as mediated by strengths, opportunities, aspirations, and results. Recommendations are provided for increasing emotional intelligence and strengths, opportunities, aspirations, and results among team members. Our research has important implications for teams and their pervasive use in business.
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Edelman, Peter, and Daan van Knippenberg. "Emotional intelligence, management of subordinate’s emotions, and leadership effectiveness." Leadership & Organization Development Journal 39, no. 5 (July 2, 2018): 592–607. http://dx.doi.org/10.1108/lodj-04-2018-0154.
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Purpose The purpose of this paper is to address two of the major questions in the relationship between emotional intelligence (EI) and leadership effectiveness: does EI conceptualized and assessed as an ability influence leadership effectiveness when controlling for cognitive intelligence and Big Five personality traits? And, what are mediating processes in this relationship? Design/methodology/approach Ability test data for EI for 84 leaders in an assessment center were used to predict unobtrusive observations of leader responses to subordinate’s emotions in a role play, and expert ratings of leadership effectiveness, controlling for cognitive ability and Big Five personality traits. Findings EI predicted the appropriateness of leader responses to subordinate’s emotions, and these responses mediated the relationships of EI and leadership effectiveness, controlling for cognitive ability and Big Five personality traits. Research limitations/implications The assessment center context represents a relatively artificial environment and follow-up research in field settings would be particularly valuable. Practical implications EI can be assessed as a selection tool for leadership positions. Leadership development programs can also focus on developing the skills associated with EI. Originality/value The study provides stronger evidence for the relationship between EI and leadership effectiveness than previous research, bolstering the confidence in conclusions regarding this relationship. The study also contributes to the development of process models of the influence of EI on leadership effectiveness by providing evidence regarding mediation.
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Randolph, Adriane B., and Janée N. Burkhalter. "From General to Specific." International Journal of Business Intelligence Research 7, no. 2 (July 2016): 32–49. http://dx.doi.org/10.4018/ijbir.2016070103.
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Neurophysiological methods and recording techniques are increasingly being embraced to enhance business intelligence about consumers' behavior. Researchers have found evidence linking individual characteristics with variations in mental processing and user literacy for neurally-controlling computer interfaces. The work presented here seeks to better understand the relationship between individual characteristics and neural activations as recorded by electroencephalography (EEG) while participants viewed certain types of media online. A study conducted with 21 right-handed individuals demonstrates that the individual characteristics of smoking, hand dexterity, and experience playing certain types of video games correlate with neural activations in the frontal lobe, reflecting arousal and engagement. These correlations indicate the need to control for particular participant characteristics when conducting studies using neurophysiological recording techniques and expand considerations for incorporating such novel, yet insightful tools into the business intelligence practice.
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Donohue, David P., and Peter M. Murphy. "Supporting Competitive Intelligence at DuPont by Controlling Information Overload and Cutting Through the Noise." Journal of Information & Knowledge Management 15, no. 01 (March 2016): 1650004. http://dx.doi.org/10.1142/s0219649216500040.
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To overcome the problems of managing too much information and curating for the valuable content, DuPont’s research, business, regulatory, manufacturing, legal, and marketing teams increasingly rely on the corporate library’s competitive intelligence (CI) team to keep up with the latest Key Intelligence Topics (KITs) affecting their strategic goals and their decision-making processes. To meet the growing demand for CI news with constrained resources, the library CI team and the software application team designed and built CIntell, a user-friendly collection of technologies and services to harvest, store, curate, and publish secondary CI information. Using exclusively open source technologies (including Weka, Rome, MySQL, Solr), CIntell automatically harvests, filters, de-duplicates, tags, classifies, and stores public and subscribed secondary information in a structured database including news, research publications, patents, government reports, and web information. The CIntell web-based user interface facilitates searching, reviewing, organising, curating, and publishing CI news of interest to a project’s owners. Implementation of CIntell has more than tripled the CI newsletter productivity of the library CI team and reduced the news clutter by more than half compared to using traditional alerting tools and sporadic DIY searching.
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Nawawi, Muhammad, Roza Mulyadi, and Dabella Yunia. "CONTROLLING THE CHANGING OF MANAGEMENT ACCOUNTING PRACTICES IN THE ENTERPRISE RESOURCES PLANNING ENVIRONMENT." Jurnal Manajemen dan Bisnis 9, no. 2 (December 31, 2020): 59–72. http://dx.doi.org/10.34006/jmbi.v9i2.196.
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The aims of this research is to give empirical evidence of changes in management accounting practices (MA) by examining the effects of changes in data quality, information quality and management accounting tasks on the efficiency and effectiveness of accounting, and indirectly on change in management accounting after the adoption of an enterprise resource planning (ERP) systems. Empirical analysis of the study used primary data from a survey of 29 manufacturing companies with 102 CFO respondents, accounting managers and business controllers, with a response rate of 28.43%, providing significant support for the proposed model. Structural equation modeling (SEM) approach with testing tools using partial least square (PLS) is used in this research. The linear thing with the results of previous research is the same, it was found that the erp implementation time is the determinant of significant MA changes, while the difference from previous researchers is in the end user, where the company that has adopted the ERP system has just felt a greater MA change when compared to users early on. The results showed that the implementation of global ERP and the use of business intelligence tools (BI) were significantly related to changes in MA practices.
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Damioli, Giacomo, Vincent Van Roy, and Daniel Vertesy. "The impact of artificial intelligence on labor productivity." Eurasian Business Review 11, no. 1 (January 21, 2021): 1–25. http://dx.doi.org/10.1007/s40821-020-00172-8.
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AbstractRecent evidence indicates an upsurge in artificial intelligence and robotics (AI) patenting activities in the latest years, suggesting that solutions based on AI technologies might have started to exert an effect on the economy. We test this hypothesis using a worldwide sample of 5257 companies having filed at least a patent related to the field of AI between 2000 and 2016. Our analysis shows that, once controlling for other patenting activities, AI patent applications generate an extra-positive effect on companies’ labor productivity. The effect concentrates on SMEs and services industries, suggesting that the ability to quickly readjust and introduce AI-based applications in the production process is an important determinant of the impact of AI observed to date.
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Wu, Peng Cheng, Wei Zhang, Yong Zhang, and Dong Jun Zhou. "Research on Intelligent Collaborative System for Auto Parts Industry." Advanced Materials Research 915-916 (April 2014): 1464–70. http://dx.doi.org/10.4028/www.scientific.net/amr.915-916.1464.
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Through the demand analysis of the business collaborative activities of auto parts enterprises, we establish the Intelligent Collaborative System. After the research on interaction process of collaborative quotation among auto parts enterprises, we build the product data model that supports multi enterprises’ collaborative response to customer requirements; according to the research of collaborative production planning principle, we propose the framework of auto parts enterprises’ building collaborative production planning; Based on the study of the hierarchical model of collaborative control of production process among multi enterprises, we discuss the framework of collaborative production process controlling among multi enterprises. The research indicates this system can meet the collaborative business demand of auto parts industry by using ASP mode and intelligent technology, also realize the intelligence.
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Luncheon, Amala, and Karina Kasztelnik. "A Qualitative Exploratory Observational Study: An Entrepreneurship Managers’ Emotional Intelligence and Impact on the Financial Organization’s Success in the United States." Financial Markets, Institutions and Risks 5, no. 2 (2021): 14–33. http://dx.doi.org/10.21272/fmir.5(2).14-33.2021.
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This paper summarizes the arguments and counterarguments within the scientific discussion on emotional intelligence. Emotional intelligence is an essential trait for managers to possess to be effective and successful in organizations. Soft skills are becoming as crucial as making quotas. Scholarly literature lacks research on emotional intelligence and employee engagement in retail in St. Lucia. Engaged employees could stay motivated during adversity and help maintain an organization’s culture. This exploratory observational study’s primary purpose was to examine how retail store managers in St. Lucia perceived their emotional intelligence influences employee engagement. The conceptual framework that grounded the study was emotional intelligence and employee engagement from an organizational performance perspective. The data collection process included reviewing archival data. The paper presents empirical analysis results; several patterns and themes emerged from the data analysis, including emotional intelligence, controlling emotions, coaching, legacy, training, hiring well, communication, and personalized relationships. Increased emotional intelligence training emerged as useful in the St. Lucian business landscape and the Caribbean by extension. The research empirically confirms and theoretically proves that researching other sectors at varying levels may give a broader understanding of how emotional intelligence is perceived. This study’s findings may be useful to stakeholders and organizational leaders to allow developing strategies to build more emotionally intelligent and engaged organizations and positively affect social change.
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Srivastava, Rajesh V., and Thomas Tang. "Coping intelligence theory: coping strategies, satisfaction and sales commission." Journal of Business & Industrial Marketing 33, no. 5 (June 4, 2018): 610–24. http://dx.doi.org/10.1108/jbim-03-2017-0072.
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Purpose This study aims to develop and test a new formative theory of coping intelligence (CI). It asserts that problem- and emotion-focused coping strategies contribute differently to the overall CI latent construct, which, in turn, relates to three outcome variables – job satisfaction, life satisfaction and sales commission. Design/methodology/approach The study collected data from multiple sources: survey data from 452 boundary-spanning salespeople and sales commission from a company’s personnel record. It then investigated the goodness of fit between the study’s theoretical SEM model and empirical data. Findings Problem-focused coping and emotion-focused coping strategies, respectively, define CI positively and negatively. This, in turn, is related to high levels of job satisfaction, life satisfaction and sales commission. After controlling for gender and sales commission, results remain significant. Commission is related to satisfaction. Gender (male) is negatively related to emotion-focused strategy, but positively related to commission. Males have higher sales commission than females, yet both genders have similar life and job satisfaction. Practical implications Problem-focused coping contributes to life satisfaction, job satisfaction and sales commission, but emotion-focused coping undermines them. Researchers and policymakers need to develop training programs, promote problem-focused coping strategies and help them improve life satisfaction, job satisfaction and sales commission, for females, in particular. Originality/value CI is more related to job satisfaction and life satisfaction than to commission. The study’s concurrent validity demonstrates that CI improves sales commission (objective data) and employee satisfaction. It pays to improve CI.
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Fan, Rui, and Xiao Hui Liu. "Dynamic Modeling of Intelligent Connector." Advanced Materials Research 108-111 (May 2010): 313–18. http://dx.doi.org/10.4028/www.scientific.net/amr.108-111.313.
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To construct autonomous, dynamic evolvement software entity, and dynamically assemble them under the Internet environment for the complex software system, a novel intelligent software model is critical. Although there is significant literature on implementation of enterprise software systems, there are fewer contributions that give rigorous formal analyzing. In this paper, we present formal model of intelligent connector for constructing enterprise intelligent applications. As a core of the enterprise intelligence component, our model is presented at different levels of abstraction and formalism by π-calculus, and the characters of dynamic rebuilding, intelligent controlling business chains are formally analyzed. A case is given to illustrate its dynamic properties.
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MANDROSHCHENKO, Olga Valentinovna, and Sergey Valentinovich BOGACHOV. "TAX ADMINISTRATION IN THE DIGITAL ECONOMY: PROSPECTS FOR DEVELOPMENT." Scientific Journal ECONOMIC SYSTEMS 14, no. 1 (2021): 152–58. http://dx.doi.org/10.29030/2309-2076-2021-14-1-152-158.
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In the field of the use of digital technologies in tax administration, Russia occupies a leading position. The main results of the work of the Federal Tax Service of Russia in this direction are increasing tax collection, bringing business out of the shadows through the introduction of a system for controlling VAT refunds (ASK VAT-2), online sales registers, marking goods with RFID tags (fur market) and QR codes (pharmaceutical market), electronic offices of taxpayers. However, the prospects for the introduction of digital technologies in the field of tax administration are associated with the construction of the architecture of a single information space through the use of blockchain technologies and artificial intelligence, which is reflected in this article.
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A. Blair, Carrie, Charles Allen Gorman, Katherine Helland, and Lisa Delise. "The smart leader: examining the relationship between intelligence and leader development behavior." Leadership & Organization Development Journal 35, no. 3 (April 29, 2014): 241–58. http://dx.doi.org/10.1108/lodj-06-2012-0078.
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Purpose – The purpose of this paper is to examine the relationship between intelligence and behavior during leader development. Design/methodology/approach – As part of a leader development program, a variety of measures are collected, including measures of intelligence and measures of performance (e.g. assessment center performance, a 360-degree appraisal). The participants are given performance feedback from a variety of sources then asked to form developmental goals. The goals are examined for goal quality and goal-feedback correspondence, and examined in relation to intelligence. Findings – Intelligence was positively related to goal-feedback correspondence. Intelligence was also related to goal quality after controlling for variance attributed to professional discipline. Research limitations/implications – Personality, gender, age, and other variables were not included in this study. Other factors, such as the cultures of the organizations from which the individuals hailed, were also not included. Moreover, the conclusions were based on the behaviors exhibited in one leader development program. Future research should address these limitations. Practical implications – Leader development is expensive and is becoming more popular. The results of this research could help organizations better determine who is likely to benefit from the investment in leader development. Originality/value – In addition, a unique method is presented in the study for measuring leader development behavior based on goal quality and goal-feedback correspondence. Generalizability theory is applied in order to determine the reliability of the measures.
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Dirani, Ali El, Manal Khalil, Hussin J. Hejase, Mariam Hashem, Zahraa Reslan, and Fadel Shaito. "The Incremental Effect of Students’ Engagement, over and above Emotional Intelligence, on Students’ Academic Achievement." Journal of Business Theory and Practice 9, no. 1 (January 8, 2021): p17. http://dx.doi.org/10.22158/jbtp.v9n1p17.
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Studies examining variations in students’ Academic Achievement (AA) have considered several factors including demographic factors such as age and gender; socio-cultural factors such as family background; university- related factors; student-related factors such as learning styles and socio-economic factors such as family income and expenditure. Two more factors that have gained prominence in the literature are the students’ Emotional Intelligence (EI) and engagement (SE). Multiple studies have reported on the separate effect that the two constructs have on students’ academic achievement. Nevertheless, to the researchers’ knowledge, few have reported on the incremental effect that engagement might have, over and above emotional intelligence, on students’ academic achievement. Thus, the aim of the current study is to fill the gap by exploring the extent to which students’ engagement can contribute to their achievement while controlling for emotional intelligence. The research is quantitative based on a survey questionnaire distributed to a sample of 100 business students with only 93 valid entries. Collected primary data were processed using the Statistical Product and Service Solutions SPSS version 24 and analyses were performed using descriptive as well as inferential methods. Research outcomes provide additional insights on the incremental effect of students’ engagement, academic achievement, over and above emotional intelligence and call for higher education institutions and policy makers to provide and/or adjust their academic and non-academic activities to reinforce a constructive and productive students’ experiences.
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Dirani, Ali El, Manal Khalil, Hussin J. Hejase, Mariam Hashem, Zahraa Reslan, and Fadel Shaito. "The Incremental Effect of Students’ Engagement, over and above Emotional Intelligence, on Students’ Academic Achievement." Journal of Business Theory and Practice 9, no. 1 (January 8, 2021): p17. http://dx.doi.org/10.22158/jbtp.v9n1p17.
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Studies examining variations in students’ Academic Achievement (AA) have considered several factors including demographic factors such as age and gender; socio-cultural factors such as family background; university- related factors; student-related factors such as learning styles and socio-economic factors such as family income and expenditure. Two more factors that have gained prominence in the literature are the students’ Emotional Intelligence (EI) and engagement (SE). Multiple studies have reported on the separate effect that the two constructs have on students’ academic achievement. Nevertheless, to the researchers’ knowledge, few have reported on the incremental effect that engagement might have, over and above emotional intelligence, on students’ academic achievement. Thus, the aim of the current study is to fill the gap by exploring the extent to which students’ engagement can contribute to their achievement while controlling for emotional intelligence. The research is quantitative based on a survey questionnaire distributed to a sample of 100 business students with only 93 valid entries. Collected primary data were processed using the Statistical Product and Service Solutions SPSS version 24 and analyses were performed using descriptive as well as inferential methods. Research outcomes provide additional insights on the incremental effect of students’ engagement, academic achievement, over and above emotional intelligence and call for higher education institutions and policy makers to provide and/or adjust their academic and non-academic activities to reinforce a constructive and productive students’ experiences.
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Pankaj Dariya, Vanshuka Puri, and Amandeep Kaur. "Understanding Current Trends on Internet of Things - An Overview." Journal of Technology Management for Growing Economies 10, no. 2 (October 25, 2019): 66–71. http://dx.doi.org/10.15415/jtmge.2019.102005.
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Internet of Things (IoT) is the concept of providing automation by adding some level of digital intelligence to physical devices. It relates to the activities of data sharing, data controlling and automation among billions of physical devices around the world. Lower price of processor, wireless network and inexpensive technologies result in turning any object into the part of internet. Smart environment equipped with sensors provide automation in interrelated computing devices, machines, animals and human resources. Data collected from different smart devices is being interpreted by different researchers for analyzing in order to make better business decisions. This review paper has shown experimental research on the Internet of Things published since 2013. We summarize different applications of IoT in various fields and highlighted various issues related to different factors ofIoT. enabled devices.
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Brown, Carlton, and Uzoechi Nwagbara. "Leading Change with the Heart: Exploring the Relationship between Emotional Intelligence and Transformational Leadership in the Era of Covid-19 Pandemic Challenges." Economic Insights – Trends and Challenges 2021, no. 3 (2021): 1–12. http://dx.doi.org/10.51865/eitc.2021.03.01.
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In recent decades, effective leadership theorising, perceptions and studies have shifted attention to interpersonal skills and the leader’s capacity to inspire, encourage and motivate subordinates as well as create and maintain a sense of positive contribution to the whole of the organisation. This conceptualisation is in sharp contrast to prior studies and conceptualisations resonating with controlling, planning and target-oriented leadership. Consequently, this article takes as its premise the relationship between emotional intelligence (leading with the heart) and transformational leadership within the purview of COVID-19 (coronavirus) pandemic challenges. It is thus argued here that in times of crisis that humanity (and the organisation specifically) is faced with at the moment unleashed by COVID-19 pandemic challenges, a style of leadership that takes as its focal point emotional intelligence mediated by transformational leadership can be instrumental in leading business organisation through this epoch. The methodology used here is steeped in cursory look at prior, relevant literature on these phenomena and how it helps to inform a conceptual framework that could help in shedding new light on how to confront the challenges of Covid-19 through effective leadership. This paper concludes that in times of crisis – particularly the one ushered in by Covid-19 – a medley of emotional intelligence and transformational leadership is necessary to drive effective change for organisation, which would help them to bounce back and operate profitably and sustainably.
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Rahman, Nayem. "SQL Scorecard for Improved Stability and Performance of Data Warehouses." International Journal of Software Innovation 4, no. 3 (July 2016): 22–37. http://dx.doi.org/10.4018/ijsi.2016070102.
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Scorecard-based measurement techniques are used by organizations to measure the performance of their business operations. A scorecard approach could be applied to a database system to measure performance of SQL (Structured Query Language) being executed and the extent of resources being used by SQL. In a large data warehouse, thousands of jobs run daily via batch cycles to refresh different subject areas. Simultaneously, thousands of queries by business intelligence tools and ad-hoc queries are being executed twenty-four by seven. There needs to be a controlling mechanism to make sure these batch jobs and queries are efficient and do not consume database systems resources more than optimal. The authors propose measurement of SQL query performance via a scorecard tool. The motivation behind using a scorecard tool is to make sure that the resource consumption of SQL queries is predictable and the database system environment is stable. The experimental results show that queries that pass scorecard evaluation criteria tend to utilize optimal level of database systems computing resources. These queries also show improved parallel efficiency (PE) in using computing resources (CPU, I/O and spool space) that demonstrate the usefulness of SQL scorecard.
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MANCHANDA, SANJEEV, S. B. SINGH, and MAYANK DAVE. "CHANGE MANAGEMENT AND SOFTWARE REUSE SUPPORTIVE 'GENETIC INFORMATION SYSTEM DEVELOPMENT AND MAINTENANCE' MODEL." International Journal of Software Engineering and Knowledge Engineering 19, no. 01 (February 2009): 113–36. http://dx.doi.org/10.1142/s0218194009004076.
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The aim of the present research work is to develop an information system development process and a model for the development of new generation information systems. New age information systems are those information systems that are capable of fulfilling the demand of highly dynamic information requirements derived from the competitive environments of business organizations and support controlling the complexity involved in their maintenance and software configuration management. Present research work analyzes the theoretical, financial, technical and practical problems related to the information system development, maintenance and change management to propose an appropriate system development process and a model for the development as well as maintenance of information systems with maximum software reuse. The proposed system development process and model provide inherent support to the business organizations in having total control over information system development, maintenance and software configuration management.
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E. Greaves, Claire, Hannes Zacher, Bernard McKenna, and David Rooney. "Wisdom and narcissism as predictors of transformational leadership." Leadership & Organization Development Journal 35, no. 4 (May 27, 2014): 335–58. http://dx.doi.org/10.1108/lodj-07-2012-0092.
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Purpose – Although leadership and organizational scholars have suggested that the virtue of wisdom may promote outstanding leadership behavior, this proposition has rarely been empirically tested. The purpose of this paper is to investigate the relationships between transformational leadership, narcissism, and five dimensions of wisdom as conceptualized by the well-established Berlin wisdom paradigm. General mental ability and emotional intelligence were considered relevant control variables. Design/methodology/approach – Interview, test, and questionnaire data were obtained from 77 employees of a high school and from two or three colleagues of each employee. Data were analyzed using hierarchical regression analyses. Findings – After controlling for general mental ability and emotional intelligence, narcissism and the wisdom dimension relativism of values and life priorities were negatively related to transformational leadership, and the wisdom dimension recognition and management of uncertainty was positively related to transformational leadership. The other three wisdom dimensions, rich factual knowledge about life, rich procedural knowledge about life, and lifespan contextualism, were not significantly related to transformational leadership. Research limitations/implications – Limitations to be addressed in future studies include the cross-sectional design and the relatively small and specialized sample. Practical implications – Tentative implications for leadership training and development are outlined. Originality/value – This multi-method and multi-source study represents the first empirical investigation that examines links between well-established wisdom and leadership constructs in the work context.
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Raimann, Jörg, and Lutz Mähler. "Business Intelligence zur Unterstützung des Instandhaltungs- Controllings." Controlling 18, no. 1 (2006): 39–46. http://dx.doi.org/10.15358/0935-0381-2006-1-39.
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Blankenship, Brian. "When Do States Take the Bait? State Capacity and the Provocation Logic of Terrorism." Journal of Conflict Resolution 62, no. 2 (May 6, 2016): 381–409. http://dx.doi.org/10.1177/0022002716645656.
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A prominent theory holds that groups may use terrorism in order to provoke governments into undertaking repression that alienates the population. However, virtually no studies have addressed the central puzzle of this provocation logic: why states would actually fall into this trap, if doing so can backfire. This study seeks to address this puzzle by suggesting conditions under which states would respond to terrorism with repression. I argue that states with limited bureaucratic capacity are more prone to using repression after terrorist incidents, as their ability to selectively crack down is inhibited by their more limited capability for controlling, monitoring, and collecting revenue from their populations and for collecting intelligence on suspected terrorists. Using a cross-national analysis with data from 1981 to 2011, I find it is low-capacity states which are most likely to respond to terrorism with repression, while constraints on executive authority have no clear effect.
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Chidiac El Hajj, Mireille, Richard Abou Moussa, and May Chidiac. "Board gender diversity and CSR in Lebanese banks: Rhetoric or action?" Corporate Ownership and Control 15, no. 1 (2017): 161–73. http://dx.doi.org/10.22495/cocv15i1c1p1.
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This paper studies the lack of gender diversity at the board level in Lebanese banks following Corporate Social Responsibility (CSR) principles. It also addresses women’s reactions and behaviours towards this issue. The employed methodology is multi-modal and uses both quantitative and qualitative tools. The data was collected via survey and semi-structured interviews from 42 managers in 21 banks, which according to their websites, follow the CSR principles. The quantitative data revealed the relevant trends, while the qualitative data provided comprehensive explanations and in-depth understanding of the related issues. The findings of this paper shed light on the personal disappointment women interviewees felt about their lack of progress as well as their inability to assume a place on the board. They also address the contribution of the four main causes of board-level gender discrimination in Lebanese banks, namely the limitations imposed by the patriarchal culture, CEO succession planning, Human Resource (HR) diversity management practices, as well as those due to women themselves. They found that women react to these challenges by relying on their emotional intelligence. However, they tend to overestimate themselves for self-protection in the male dominated financial world. This study is not without its limitations, but it recommends further research concerning related policies and strategies of the administrative boards, legislating entities, and controlling entities, such as the Central Bank of Lebanon (Banque du Liban, BDL), in order to explicitly explore strategies that affect gender discrimination. This study creates value for banks that are genuinely interested in implementing CSR in order to benefit their corporate governance (CG) practices as well as the society at large.
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Alizadeh, Fatemeh, Gunnar Stevens, and Margarita Esau. "I Don’t Know, Is AI Also Used in Airbags?" i-com 20, no. 1 (April 1, 2021): 3–17. http://dx.doi.org/10.1515/icom-2021-0009.
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Abstract In 1991, researchers at the center for the Learning Sciences of Carnegie Mellon University were confronted with the confusing question of “where is AI?” from users, who were interacting with artificial intelligence (AI) but did not realize it. After three decades of research, we are still facing the same issue with the unclear understanding of AI among people. The lack of mutual understanding and expectations among AI users and designers and the ineffective interactions with AI that result raises the question of “how AI is generally perceived today?” To address this gap, we conducted 50 semi-structured interviews on perception and expectations of AI. Our results revealed that for most, AI is a dazzling concept that ranges from a simple automated device up to a full controlling agent and a self-learning superpower. We explain how these folk concepts shape users’ expectations when interacting with AI and envisioning its current and future state.
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Crowne, Kerri Anne. "Investigating antecedents of transformational leadership in students." Journal of International Education in Business 12, no. 1 (May 7, 2019): 80–94. http://dx.doi.org/10.1108/jieb-07-2018-0029.
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Purpose This study investigates the relationships among cultural intelligence (CQ), personality and transformational leadership in a student population. The purpose of this paper is to examine the impact of CQ on transformational leadership to see if a relationship exists beyond personality. Design/methodology/approach Hypotheses are presented and tested on a sample of 465 undergraduate and graduate students who attended a large northeastern US university. Hierarchical regression was used to conduct the analysis, and multiple models were generated to test the relationships posited. Findings The data showed that CQ affected transformational leadership; however, when examining the subcomponents of CQ, only behavioral CQ had an impact on transformational leadership beyond personality. Research limitations/implications The surveys were self-reported and cross-sectional, so causality could not be determined. Furthermore, the sample, while diverse, was composed of students. However, scholars will find value in this research because it expands the understanding of CQ. Practical implications The findings of this research indicate that behavioral CQ impacts transformational-leadership skills. Thus, business educators should consider how to build skills associated with behavioral CQ in students because of the importance of global transformational-leadership skills in the workplace. Originality/value This research will impact the literature streams of CQ and transformational leadership because it is the first to examine the relationship between the two while controlling for personality.
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Foster, Colm, and Frank Roche. "Integrating trait and ability EI in predicting transformational leadership." Leadership & Organization Development Journal 35, no. 4 (May 27, 2014): 316–34. http://dx.doi.org/10.1108/lodj-07-2012-0087.
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Purpose – The purpose of this paper is to examine the moderating role played by follower's trait emotional intelligence (EI) in the relationship between follower's ability EI and transformational leadership. Design/methodology/approach – The authors hypothesised that there is a positive moderating effect of follower's trait EI on the relationship between follower's ability EI and the transformational leadership rating they receive from their supervisor. Using moderated hierarchical linear regression this hypothesis was tested using a random sample of 208 supervisor-subordinate dyads from three organisations in Ireland covering FMCG, banking and financial Services. Findings – After controlling for the effects of personality, moderated hierarchical regression analysis showed that follower ability EI significantly predicted transformational leadership ratings and that this relationship was positively moderated by follower trait EI. Research limitations/implications – This study presents a path-finding, integrative model linking trait and ability EI which offers an expanded understanding of the phenomenon of EI in relation to leadership. Practical implications – The findings show how trait and ability EI can be used in concert by HR and leadership development professionals to optimally design EI-based leadership development programmes. Originality/value – This is the first study to integrate the trait and ability approaches to EI and to show how they interact in predicting transformational leadership. This study also took the perspective of leadership as assessed by the leader rather than the follower, which has been the norm in most previous studies.
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Giousmpasoglou, Charalampos, and Thi Thuy Hua. "The Use of Self-Service Technologies in Budget Hotels: The Case of Bournemouth." European Journal of Tourism, Hospitality and Recreation 10, no. 3 (December 1, 2020): 251–61. http://dx.doi.org/10.2478/ejthr-2020-0022.
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Abstract Self-service technologies (SSTs) have been implemented across all service industries. The hotel business in the UK, including budget hotels, has been increasingly adopting SSTs both to enhance customer service and to create operational efficiency. In addition to providing guests with accommodation and basic services, budget hotels are now using SSTs with a view to increasing controlling and operational efficiency, human resource management and engaging guests in a more intelligent service design. Previous studies have mainly focused on the users’ perspectives, not on the use of SSTs themselves in budget hotels. The purpose of this study, then, is to explore the implications of SSTs in budget hotels both from a managerial and a guest perspective. Bournemouth has been selected as a case study for this research because it is one of the most popular resorts in the UK. This qualitative study employed 14 semi-structured interviews with budget hotel managers and guests who have used SSTs while staying in budget hotels in Bournemouth. The research findings show that maxim-ising operational efficiency is a key benefit of SST implementation from a managerial perspective. On the other hand, efficiency, accessibility, privacy and self-control over transactions are the main benefits of an SST, emphasised by customers. Overall, there is positive feedback from both managers and guest on the usage of SSTs in budget hotels in Bournemouth. The authors conclude that advanced technologies, such as artificial intelligence (AI) and Internet of Things (IoT), in conjunction with SSTs, will transform the hospitality industry in the near future.
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Guo, Xinyao, Yue Chen, Qingmin Si, and Yuansheng Wang. "Evolution Mechanism on the Unsafe Behavioural Risks of General Aviation Pilots." Engineering Economics 32, no. 2 (April 29, 2021): 104–17. http://dx.doi.org/10.5755/j01.ee.32.2.28162.
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The unsafe behaviour prevention and control of general aviation pilots has become an emphasis in the general aviation safety management with the increasing number of general aviation enterprises, lengthening of flight time and frequent occurrence of public safety events caused by general aviation accidents. How to identify the factors influencing the unsafe behaviours of general aviation pilots and clarify the inter factor evolution mechanism is hot issue in the general aviation. To accurately identify the key factors influencing the unsafe behaviours of general aviation pilots and define the interaction mechanism between factors, using the unsafe behaviours of pilots in 200 global general aviation accidents during 2015-2019 and the association rule method, the bottom-layer factors of the Human Factors Analysis and Classification System (HFACS) model were analysed. Furthermore, the influence degree, influenced degree, centrality and causality of the influencing factors in the HFACS model were calculated, and the risk transfer path at different layers was determined on the basis of the integrated decision-making trial and evaluation laboratory (DEMATEL) and fuzzy theory. Results show that the poor individual ready state is strongly associated with skill error, decision-making error and habitual violation. Moreover, 11 factors, such as poor physical environment, physical/intelligence limitation and poor technical environment, constitute the factors in the cause group for pilot unsafe behaviours. 7 factors, such as insufficient supervision, improper operation plan and failure to discover and correct problems, are the factors in the result group. Illegal behaviour, failure to discover and correct problems and decision-making error of pilots, which are of high centrality, are key factors influencing the unsafe behaviours of general aviation pilots. The conclusions obtained from this study compensate the deficiencies for the linear statistical model of risk factors and provide a novel method for regulating and controlling the unsafe behaviours of general aviation pilots.
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Seufert, Andreas, and Josef Schiefer. "Business Intelligence als Enabler eines wertorientierten Controllings für das Financial Supply Chain Management." Controlling & Management 52, S2 (September 2008): 16–27. http://dx.doi.org/10.1365/s12176-012-0201-4.
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Et. al., Khusboo Srivastava,. "Paradigm Shift In Indian Banking Industry With Special Reference To Artificial Intelligence." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 5 (April 11, 2021): 1623–29. http://dx.doi.org/10.17762/turcomat.v12i5.2139.
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Technological advancement has transformed the businesses environment in past few decades and many technologies will emerge that will profoundly influence many industries. This technology revolution is future and controlling the organizations effortlessly for productive development. The paper investigates the various zones where the Artificial Intelligence is being utilized in the Indian banking sector and also its implications. This paper will confer that what are the advantages and the challenges which artificial intelligence is confronting in India. It seeks to explore advancement that artificial intelligence offers to FinTech and the different ways in which it can shape the operations of an Indian banking ecosystem.
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Sgurev, Vassil, Vladimir Jotsov, and Mincho Hadjiski. "Intelligent Systems: Methodology, Models, and Applications in Emerging Technologies." Journal of Advanced Computational Intelligence and Intelligent Informatics 9, no. 1 (January 20, 2005): 3–4. http://dx.doi.org/10.20965/jaciii.2005.p0003.
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From year to year the number of investigations on intelligent systems grows rapidly. For example this year 245 papers from 45 countries were sent for the Second International IEEE Conference on Intelligent Systems (www.ieee-is.org; www.fnts-bg.org/is) and this is an increase of more than 50% by all indicators. The presented papers on intelligent systems were marked by big audiences and they provoked a significant interest that ultimately led to the formation of vivid discussions, exchange of ideas and locally provoked the creation of working groups for different applied projects. All this reflects the worldwide tendencies for the leading role of the research on intelligent systems theoretically and practically. The greater part of the presented research dealt with traditional for the intelligent systems problems like artificial intelligence, knowledge engineering, intelligent agents, neural and fuzzy networks, intelligent data processing, intelligent control and decision making systems, and also new interdisciplinary problems like ontology and semantics in Internet, fuzzy intuitionistic logic. The majority of papers from the European and American researchers are dedicated to the theory and the applications of the intelligent systems with machine learning, fuzzy inference or uncertainty. Another big group of papers focuses on the domain of building and integrating ontologies of applications with heterogeneous multiagent systems. A great number of papers on intelligent systems deals with fuzzy sets. The papers of many other researchers underscore the significance of the contemporary perception-oriented methods and also of different applications in the intelligent systems. On the first place this is valid for the paradigm of L. A. Zadeh 'computing with words'. The Guest Editors in the present specialized journal volume would like to introduce a wealth of research with an applied and theoretical character that possesses a common characteristic and it is the conference best papers complemented and updated by the new elaborations of the authors during the last half a year. A short description of the presented in the volume papers follows. In 'Combining Local and Global Access to Ontologies in a Multiagent System' <B>R. Brena and H. Ceballos (Mexico)</B> proposed an original way for operation with ontologies where a part of the ontology is processed by a client's component and the rest is transmitted to the other agents by an ontology agent. The inter-agent communication is improved in this way. In 'Fuzzy Querying of Evolutive Situations: Application to Driving Situations' <B>S. Ould Yahia and S. Loriette-Rougegrez (France)</B> present an approach to analysis of driving situations using multimedia images and fuzzy estimates that will improve the driver's security. In 'Rememberng What You Forget in an Online Shopping Context' <B>M. Halvey and M. Keane (Ireland)</B> presented their approach to constructing online system that predicts the items for future shopping sessions using a novel idea called Memory Zones. In 'Reinforcement Learning for Online Industrial Process Control' the authors <B>J. Govindhasamy et al. (Ireland)</B> use a synthesis of dynamic programming, reinforcement learning and backpropagation for a goal of modeling and controlling an industrial grinding process. The felicitous combination of methods contributes for a greater effectiveness of the applications compared to the existing controllers. In 'Dynamic Visualization of Information: From Database to Dataspace' the authors <B>C. St-Jacques and L. Paquin (Canada)</B> suggested a friendly online access to large multimedia databases. <B>W. Huang (UK)</B> redefines in 'Towards Context-Aware Knowledge Management in e-Enterprises' the concept of context in intelligent systems and proposes a set of meta-information elements for context description in a business environment. His approach is applicable in the E-business, in the Semantic Web and in the Semantic Grid. In 'Block-Based Change Detection in the Presence of Ambient Illuminaion Variations' <B>T. Alexandropoulos et al. (Greece)</B> use a statistic analysis, clustering and pattern recognition algorithms, etc. for the goal of noise extraction and the global illumination correction. In 'Combining Argumentation and Web Search Technology: Towards a Qualitative Approach for Ranking Results' <B>C. Chesñevar (Spain) and A. Maguitman (USA)</B> proposed a recommender system for improving the WEB search. Defeasible argumentation and decision support methods have been used in the system. In 'Modified Axiomatic Basis of Subjective Probability' <B>K. Tenekedjiev et al. (Bulgaria)</B> make a contribution to the axiomatic approach to subjective uncertainty by introducing a modified set of six axioms to subjective probabilities. In 'Fuzzy Rationality in Quantitative Decision Analysis' <B>N. Nikolova et al. (Bulgaria)</B> present a discussion on fuzzy rationality in the elicitation of subjective probabilities and utilities. The possibility to make this special issue was politely offered to the Guest Editors by Prof. Kaoru Hirota, Prof. Toshio Fukuda and we thank them for that. Due to the help of Kenta Uchino and also due to the new elaborations presented by explorers from Europe and America the appearance of this special issue became possible.
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Gaikwad, Sophia S., and S. Vijayakumar Bharathi. "An Exploratory Study on the Application of Multiple Intelligences to MBA Andragogy with Particular Reference to ERP-Controlling Configuration Course." International Journal of Information and Communication Technology Education 14, no. 1 (January 2018): 58–72. http://dx.doi.org/10.4018/ijicte.2018010105.
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The purpose of this study is to elicit the application of Multiple Intelligences (MI) theory to a course taught in the MBA Andragogy. Administered to a sample of 47 students of the first year MBA Information Technology Business Management (ITBM) program at a private university in India the study brought out certain interesting implications. Foremost, the written report, prescribed a clear route map for the preparation and planning of the MI activities to become the SAP ERP-Controlling Configuration course in the MBA (ITBM) program. Second, the administration of the MI Andragogy to the target sample by applying three well-defined tools. Foremost, the MI profile of the students, second, the most preferred MI activity of the student and third, the observation schedule with the instructor. The statistically significant pre and post test scores validated the strength of the work. The third implication is the triangulation of the three tools to ensure the credibility and validity of the results. It was found that a little over 50 percent of the sample resulted in complete corroboration and the balance partially corroborated. Overall the research extends and enhances the scope and application of MI theory to MBA Andragogy and serves every bit a broad citation to the MBA teaching ecosystem.
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Ahmed, Ammad, Chew Ng, and Deborah Delaney. "Women on corporate boards and the incidence of receiving a ‘strike’ on the remuneration report." Corporate Ownership and Control 12, no. 4 (2015): 261–72. http://dx.doi.org/10.22495/cocv12i4c2p2.
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This paper examines the effect of one form of board diversity on the incidence of receiving a ‘strike’ (i.e., receiving 25 percent or more ‘no’ votes) on the remuneration report by ASX companies in Australia. More specifically, the research hypothesises that there is a negative association between women presence on corporate boards and the likelihood of receiving a ‘strike’ on remuneration reports. Using the Financial Review Business Intelligence’s remuneration report voting database, this study constructs a matched-pair sample of 314 strike firms and 314 control firms from 2011 to 2013. After controlling for other ‘strike’ related factors, the results suggest a significant association between the presence of at least one woman on the board and a lower incidence of receiving a ‘strike’. This finding contributes to the research by showing that the presence of female directors is likely to enhance the monitoring function of the board and thus lower the likelihood of receiving a ‘strike’ on the remuneration report.
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Mella, Piero. "The ghost in the production machine: the laws of production networks." Kybernetes 48, no. 6 (June 3, 2019): 1301–29. http://dx.doi.org/10.1108/k-05-2018-0267.
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Purpose Any kind of production flow is obtained not from individual production organizations but from a more or less widespread Production Network of interconnected production modules located in different places and times. All of these modules are, consciously or not, necessarily connected, interacting and cooperating in a coordinated way to combine and arrange, step by step, the factors, materials, components, manpower, machines and equipment to obtain flows of products’ final goods, in particular’ and to sell these where there is a demand for them. The purpose of this paper is to determine, in logical and formal terms, the minimum conditions that bring about the formation of production networks and to discover the laws that explain their dynamics over time. Design/methodology/approach At the global level, the continuous and accelerated economic progress of mankind is witnessed. There is an increase in the quantity and quality of satisfied and yet to be satisfied needs, of attained and yet to be attained aspirations. The increase in productivity and in quality has become unstoppable and appears to guide the other variables in the system. It is natural to ask who produces and governs these phenomena. It does indeed seem there is a Ghost in the “Production” machine whose invisible hand produces growing levels of productivity and quality, increases the quality and quantity of satisfied needs and aspirations and reduces the burden of work, thus producing increasingly higher levels of progress in the entire economic system. This conceptual framework gives a simple answer: there is nothing metaphysical about this evolution towards unstoppable and irreversible progress, and it is produced by the spontaneous genesis and activity of selfish nodes and governed by the rules and laws of the production networks. Findings The author has identified ten “rules of selfish behavior” on the part of the nodes, whose application necessarily and inevitably produces three evolutionary dynamic processes “which refer to the network as an entity” which the author has called the “rules of the production networks” to emphasize their cogency: continual expansion, elasticity-resiliency and continual improvement in performance. The cognitive and creative processes that characterize the nodes do not allow us to predict the actual evolution of production networks; nevertheless, if it is assumed that nodes “consciously or not” follow the 10 “rules of selfish behavior”, then several typical trends, or behavioural schema, can be deduced which the author has called as the “laws of networks”, to highlight their apparent inevitability and cogency. Research limitations/implications More than any other structure, Production Networks display Holland’s features and Arthur’s properties as their modules, viewed as autonomous entities with cognitive functions, represent a collectivity of agents that interact and exchange information with their environment to maintain over time their internal processes through adaptation, self-preservation, evolution and cognition, making individual and collective decisions as part of a network of micro behaviours. Social implications This new conception of production through production networks, which takes into account the “rules” and “laws” regulating their behaviour, also sheds new light on the development of networks and their natural tendency to become globalized. Originality/value Although the concept of a network is becoming more popular in economic and business studies, it is yet to see an interpretation of production as deriving exclusively from the actions of increasingly larger networks. This paper presents an integrated view of production that does not discard the notion that production is carried out by organizations and companies but introduces the broader concept of the integration among organizations, which must be interpreted as nodes of a broader network that produces the flows of all the components needed to obtain the flow of a specific product. This represents an innovative view that will help us in understanding the difficulties policymakers encounter in governing production and controlling the basic variables that characterize it, specifically productivity, quality, quantity, prices and value. This perspective also allows to derive rules and laws for the behaviour of production networks that appear to be cogent and unvarying over time.
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György Fabricius-Ferke. "What Can Come out Controlling—A Chance for the Perfect Business Intelligence." China-USA Business Review 15, no. 11 (November 28, 2016). http://dx.doi.org/10.17265/1537-1514/2016.11.004.
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"Business Process Reengineering: A Scope of Automation in Software Project Management using Artificial Intelligence." International Journal of Engineering and Advanced Technology 9, no. 2 (December 30, 2019): 3589–94. http://dx.doi.org/10.35940/ijeat.b2640.129219.
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This research paper aims an analytical study on the software development organization insight into trending automation technologies and their implementation Software Engineering Management (SEM) processes. Software Project Management (SPM) is a scientific art for planning, controlling execution and monitoring. SPM approaches are more focusing towards the essential requirement for the success of software project development. It has been very challenging to manage software development using existing project management procedures driven by software development organizations and this is one of the areas of problem statement for this research. This paper discusses an analytical study for the requirements and consideration of BPR in SPM, explores to spot and emphasizes the important success factors for the execution of a BPR using benefits of Artificial Intelligence (AI) in software development organization. BPR is organizational mechanism that improves ability to respond to challenges of qualitative result by change and improvement in software engineering processes, productivity, product quality and competitive advantages. AI will be the best approach and scope of automation SEM processes for software development organizations. This paper also represents a conceptual view of software engineering model shift for improvements in capability of project managers to handle agile thinking and problem solving for betterment of SPM using Artificial Intelligence.
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Zhang, Shunyuan, Nitin Mehta, Param Vir Singh, and Kannan Srinivasan. "Frontiers: Can an Artificial Intelligence Algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb." Marketing Science, July 29, 2021. http://dx.doi.org/10.1287/mksc.2021.1295.
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We study the effect of Airbnb’s smart-pricing algorithm on the racial disparity in the daily revenue earned by Airbnb hosts. Our empirical strategy exploits Airbnb’s introduction of the algorithm and its voluntary adoption by hosts as a quasinatural experiment. Among those who adopted the algorithm, the average nightly rate decreased by 5.7%, but average daily revenue increased by 8.6%. Before Airbnb introduced the algorithm, White hosts earned $12.16 more in daily revenue than Black hosts, controlling for observed characteristics of the hosts, properties, and locations. Conditional on its adoption, the revenue gap between White and Black hosts decreased by 71.3%. However, Black hosts were significantly less likely than White hosts to adopt the algorithm, so at the population level, the revenue gap increased after the introduction of the algorithm. We show that the algorithm’s price recommendations are not affected by the host’s race—but we argue that the algorithm’s race blindness may lead to pricing that is suboptimal and more so for Black hosts than for White hosts. We also show that the algorithm’s effectiveness at mitigating the Airbnb revenue gap is limited by the low rate of algorithm adoption among Black hosts. We offer recommendations with which policy makers and Airbnb may advance smart-pricing algorithms in mitigating racial economic disparities.
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Li, Jiahua, and Ali Lakzi. "A new model for assessing the role of IT-based systems, public policies and business intelligence on the export competitiveness’s efficiency." Kybernetes ahead-of-print, ahead-of-print (February 11, 2021). http://dx.doi.org/10.1108/k-07-2020-0430.
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Purpose By using some tools such as business intelligence (BI) and exploring data stored in data warehousing systems, it is possible to increase export competition efficiency. Efficiency in the export competition is affected by several factors. Therefore, this paper has attempted to provide a new conceptual framework for assessing the impact of new information technology (IT)-based systems, public policies and BI on the efficiency of export competitiveness. Design/methodology/approach Increasing exports and its high efficiency depend on each country’s IT. So, IT is the main tool to increase the production process, improve quality and reduce products’ cost. In addition, each country develops policies for business activities and commerce to increase productivity in export competition. Clarifying public policies and strategies critical to the development of export competition is important in this field. Therefore, this paper has tried to provide a new conceptual framework for examining the impact of new IT-based systems, public policies and BI on the effectiveness of export competition. The research method of this study is based on structural equation modeling. This method has been used to evaluate the causal model, assess the reliability and check the measurement model’s validity. Model and data were analyzed using SPSS 22 and SmartPLS software. Findings The results showed that the impact of new IT-based systems, public policies and BI on export competitiveness efficiency has been positive. Research limitations/implications To generalize this study’s results and have a more accurate external validity, it is necessary to conduct this research program over a more extended time and space. Also, larger and more comprehensive samples should be taken for further validation. The authors also suggest that other factors can be considered. Practical implications The framework is conceptually innovative in modeling the efficiency of export competitiveness and assessing implications. Export competitiveness is a crucial factor in long-term global farm business survival, as it fosters opportunities for business prosperity on global markets. Originality/value The research offers important hints for emerging markets to find their ways to maintain a sustainable competitive advantage in the export market by controlling the country-level factors. This research will be helpful to both policymakers and global managers.
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Mandal, Snehlata, and Vivek Dubey. "Implementation and Evaluation of Diabetes Management System Using Clustering Technique." International Journal of Computer Science and Informatics, January 2013, 193–96. http://dx.doi.org/10.47893/ijcsi.2013.1090.
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Data mining is a field of computer science which is used to discover new patterns for large data sets. Clustering is the task of discovering groups and structures in the data that are in some way or another similar without using known structures of data. Most of this data is temporal in nature. Data mining and business intelligence techniques are often used to discover patterns in such data; however, mining temporal relationships typically is a complex task. The paper proposes a data analysis and visualization technique for representing trends in temporal data using a clustering based approach by using a system that implements the cluster graph construct, which maps data to a two-dimensional directed graph that identifies trends in dominant data types over time. In this paper, a clustering-based technique is used, to visualize temporal data to identifying trends for controlling diabetes mellitus. Given the complexity of chronic disease prevention, diabetes risk prevention and assessment may be critical area for improving clinical decision support. Information visualization utilizes high processing capabilities of the human visual system to reveal patterns in data that are not so clear in non-visual data analysis.
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Li, Jianfeng, Fangshuo Li, Wenxiang Wang, and Jun Zhai. "An Information Dissemination Influence Model for Mobile Social Network under Multi-Role View." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, September 3, 2020, 2150001. http://dx.doi.org/10.1142/s021848852150001x.
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Mobile social networks are dominating in our society’s daily life because of fast advancements of information technologies. To further exploit benefits from the ubiquitous service, studying the influence of information dissemination in this kind of social network becomes a necessity. This paper proposes a mobile social network influence model with regard to multiple roles. In the model, the concept of group is adopted to analyze a user’s role in different contexts. Through the introduction of role’s level and group’s relativity, information dissemination can be investigated deeply, and then, with the Floyd-Warshall algorithm, information strength matrix is constructed to study each node’s influence and under-influence indexes in the network, in addition, the comprehensive influence under multi-role view is also expressed distinctly in the fuzzy form. The result of this research will help find out preferable information disseminators as a new business strategy in e-commerce. Furthermore, it is also useful for detecting gossips and controlling its dissemination in social management.
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"IOT based Energy Management System for an Autonomous Hybrid Micro-Grid." VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE 8, no. 10 (August 10, 2019): 1318–23. http://dx.doi.org/10.35940/ijitee.8171.0881019.
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Raising rate and require of power has led a lot of organizations to discover elegant ways for monitoring, controlling and reduction energy. To create an innovative idea to reduce the rate of energy consumption smart EMS (Energy Management System) is proposed in this paper. To develop IoT technologies and Big Data is used to improved hold energy utilization in commercial, housing and industrial sectors. An EMS is used to build smart homes is proposed for he developed cities. In this system, every residence tool is interfaced with a data attainment module that is an IoT object with an exclusive IP address ensuing in a huge mesh wireless network of devices. The data gaining SoC (System on Chip) module collects energy utilization data from every device of every stylish residence and send data to a centralized server for supplementary handing out and study. This information from all housing areas accumulates in the utility’s server as Big Data. EMS consumes off-the-shelf BI (Business Intelligence) and Big Data surveys software packages which improves the energy usages also to assemble user order. While air conditioning gives to 60% of power use in American countries, HVAC (Ventilation, Air Conditioning and Heating) are in use as a research to approve the proposed system.
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Gupta, Abhishek, Dwijendra Nath Dwivedi, and Ashish Jain. "Threshold fine-tuning of money laundering scenarios through multi-dimensional optimization techniques." Journal of Money Laundering Control ahead-of-print, ahead-of-print (March 4, 2021). http://dx.doi.org/10.1108/jmlc-12-2020-0138.
Full textAbstract:
Purpose Transaction monitoring system set up by financial institutions is one of the most used ways to track money laundering and terrorist financing activities. While being effective to a large extent, the system generates very high false positives. With evolving patterns of financial transactions, it also needs effective mechanism for scenario fine-tuning. The purpose of this paper is to highlight quantitative method for optimizing scenarios in money laundering context. While anomaly detection and unsupervised learning can identify huge patterns of false negatives, that can reveal new patterns, for existing scenarios, business generally rely on judgment/data analysis-based threshold finetuning of existing scenario. The objective of such exercises is productivity rate enhancement. Design/methodology/approach In this paper, the authors propose an approach called linear/non-linear optimization on threshold finetuning. This traditional operations research technique has been often used for many optimization problems. Current problem of threshold finetuning for scenario has two key features that warrant linear optimization. First, scenario-based suspicious transaction reporting (STR) cases and overall customer level catch rate has a very high overlap, i.e. more than one scenario captures same customer with different degree of abnormal behavior. This implies that scenarios can be better coordinated to catch more non-overlapping customers. Second, different customer segments have differing degree of transaction behavior; hence, segmenting and then reducing slack (redundant catch of suspect) can result in better productivity rate (defined as productive alerts divided by total alerts) in a money laundering context. Findings Theresults show that by implementing the optimization technique, the productivity rate can be improved. This is done through two drivers. First, the team gets to know the best possible combination of threshold across scenarios for maximizing the STR observations better coverage of STR – fine-tuned thresholds are able to better cover the suspected transactions as compared to traditional approaches. Second, there is reduction of redundancy/slack margins on thresholds, thereby improving the overall productivity rate. The experiments focused on six scenario combinations, resulted in reduction of 5.4% of alerts and 1.6% of unique customers for same number of STR capture. Originality/value The authors propose an approach called linear/non-linear optimization on threshold finetuning, as very little work is done on optimizing scenarios itself, which is the most widely used practice to monitor enterprise-wide anti-money laundering solutions. This proves that by adding a layer of mathematical optimization, financial institutions can additionally save few million dollars, without compromising on their STR capture capability. This hopefully will go a long way in leveraging artificial intelligence for further making financial institutions more efficient in controlling financial crimes and save some hard-earned dollars.