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1

Hargis, Kent, and Jianping Mei. "Is Country Diversification better than Industry Diversification?" European Financial Management 12, no. 3 (2006): 319–40. http://dx.doi.org/10.1111/j.1354-7798.2006.00323.x.

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2

Scott, John T. "Diversification and industry evolution." Review of Industrial Organization 10, no. 5 (1995): 607–11. http://dx.doi.org/10.1007/bf01026885.

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3

Khokhlov, S. "Diversification of radio-electronic industry." ELECTRONICS: Science, Technology, Business, no. 9 (2018): 18–20. http://dx.doi.org/10.22184/1992-4178.2018.180.9.18.20.

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4

Erickson, Mark. "Defense Industry Workers and Diversification." Defense Analysis 11, no. 2 (1995): 189–205. http://dx.doi.org/10.1080/07430179508405655.

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5

KODAMA, F. "Technological Diversification of Japanese Industry." Science 233, no. 4761 (1986): 291–96. http://dx.doi.org/10.1126/science.233.4761.291.

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6

Bulava, I. V., N. N. Chalenko, and O. S. Aleshina. "Leveling diversification risks of industries of the Defense-Industrial Complex of Russia: problems and solutions." Management and Business Administration, no. 4 (December 2020): 58–66. http://dx.doi.org/10.33983/2075-1826-2020-4-58-66.

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The article shows the need to identify diversification risks and opportunities for their leveling by the state and business, which depends on the state of the Russian defense industry sectors in modern conditions. It has been substantiated that an important role in their leveling is played by a systematic approach to assessing and managing diversifications risks in the medium and long term. The result of leveling diversification risks is assessed in the form of increasing the competitiveness of the defense industry sectors, receiving tax payments and improving the welfare of the population, ensuring the country's economic security.
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7

Dhandapani, Karthik, and Rajesh S. Upadhyayula. "Two paths to diversification." International Journal of Emerging Markets 10, no. 1 (2015): 32–51. http://dx.doi.org/10.1108/ijoem-05-2012-0048.

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Purpose – The purpose of this paper is to examine the impact of related diversification across service offerings and industry domains for professional service firms (PSFs) in emerging economies by integrating the reputational and economies of scope perspectives of diversification. The paper also provides insights into how related diversification impacts small and medium sized firms differently. Design/methodology/approach – Using unique data from the Indian Information Technology industry, the authors examine the impact of related diversification along service offerings and industry domains on export performance of firms. Findings – The results show that related diversification across specializations and industry domains impact performance differently across different firm sizes. While the authors find that related diversification across service offerings has an inverted U shape with performance for the medium sized firms, they do not impact performance for small sized firms. Performance of small firms has a U shaped relationship with relatedness in industry domains. The study shows that reputation transfer across industry domains play a significant role in the performance of small size firms whereas the ability to realize economies of scope by cross selling multiple services across clients do matter for performance of medium sized firms. Practical implications – Managers of small PSFs need to expand along related industry domains whereas managers from medium sized firms can experiment across service offerings to exploit economies of scope. Originality/value – The study contributes to hitherto unexamined research on related diversification in PSFs. The study is one of the few studies to examine relatedness along more than one dimension in an intra-industry context.
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Eickelberg, Peter. "Diversification in the Hedge Fund Industry." CFA Digest 42, no. 3 (2012): 3–5. http://dx.doi.org/10.2469/dig.v42.n3.18.

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9

Shawky, Hany A., Na Dai, and Douglas Cumming. "Diversification in the hedge fund industry." Journal of Corporate Finance 18, no. 1 (2012): 166–78. http://dx.doi.org/10.1016/j.jcorpfin.2011.11.006.

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10

Gemba, Kiminori, and Fumio Kodama. "Diversification dynamics of the Japanese industry." Research Policy 30, no. 8 (2001): 1165–84. http://dx.doi.org/10.1016/s0048-7333(00)00140-2.

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11

Ratonyi, Robert. "Telephone industry diversification: Leanring from Contel." Planning Review 14, no. 6 (1986): 12–35. http://dx.doi.org/10.1108/eb054165.

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12

Zahavi, Talli, and Dovev Lavie. "Intra-industry diversification and firm performance." Strategic Management Journal 34, no. 8 (2013): 978–98. http://dx.doi.org/10.1002/smj.2057.

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13

Ehling, Paul, and Sofia B. Ramos. "Geographic versus industry diversification: Constraints matter." Journal of Empirical Finance 13, no. 4-5 (2006): 396–416. http://dx.doi.org/10.1016/j.jempfin.2006.04.001.

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14

Ganzarain, Jaione, and Nekane Errasti. "Three stage maturity model in SME’s toward industry 4.0." Journal of Industrial Engineering and Management 9, no. 5 (2016): 1119. http://dx.doi.org/10.3926/jiem.2073.

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Purpose: To address the challenges regarding the concept of Industry 4.0 and the diversification methodology and based on the strategic guidance towards Industry 4.0, we propose a process model as a guiding framework for Industry 4.0 collaborative diversification vision, strategy and action building. In this paper we suggest a stage process model to guide and train companies to identify new opportunities for diversification within Industry 4.0. Systematically carrying out the stages will take a company to their individual specific vision and collaborative vision between different companies in the Industry 4.0 scenario.Design/methodology/approach: This new collaborative diversification methodology involves industry within the pilot program; from the diversification and capacity assessment analysis of the company`s profile, skills and technologies that dominates, to identify the diversification opportunity map and its business modeling within the Industry 4.0 paradigm.Findings: The application of maturity models to the Industry 4.0 may help organizations to integrate this methodology into their culture. Results show a real need for guided support in developing a company-specific Industry 4.0 vision and specific project planning.Originality/value: Industry 4.0 promotes a vision where recent developments in information technology are expected to enable entirely new forms of cooperative engineering and manufacturing. The vision of industry 4.0 describes a whole new approach to business operations, and especially the production industries. To address the challenges regarding the concept of Industry 4.0 and the diversification methodology discussed above, and based on the strategic guidance towards Industry 4.0, we propose a unique process model as a guiding framework for Industry 4.0 collaborative diversification vision, strategy and action building.
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15

Pangboonyanon, Varaporn, and Kiattichai Kalasin. "The impact of within-industry diversification on firm performance." International Journal of Emerging Markets 13, no. 6 (2018): 1475–501. http://dx.doi.org/10.1108/ijoem-05-2017-0174.

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Purpose The purpose of this paper is to investigate how within-industry diversification affects the financial performance of small- and medium-sized enterprises (SMEs) in emerging markets (EMs). The authors draw on both the resource-based view and the institutional perspective and argue that within-industry diversification can enhance the financial performance of SMEs in EMs. Due to institutional voids in emerging economies, SMEs can gain additional benefits from scope economies, as well as from market returns, by filling product market voids and gaps in business ecosystems, while also enjoying low input and labor costs that reduce the coordination costs of diversification. This, in turn, enhances benefits of within-industry diversification, thereby resulting in higher financial profitability. Design/methodology/approach This study employs panel data econometrics to estimate the model. The authors test hypotheses on 195 firms, originating from five countries in Southeast Asia, during the period of 2009–2014. Findings The empirical results support the arguments. Within-industry diversification has a positive impact on the performance of SMEs in EMs. These effects become weaker when the institutional contexts are more developed. Nevertheless, such effects become stronger when SMEs in EMs are more efficient. Research limitations/implications The relationship between within-industry diversification and performance is a positive linear pattern, which differs from the pattern in advanced economies. In addition to unrelated diversification, the related diversification is preferable for firms in EMs. Practical implications The paper provides implications for SMEs that aim to enhance their performance by engaging in single product lines and within-industry diversification. Originality/value This paper examines the different ways within-industry diversification can enhance SMEs performance in EM contexts.
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Che, Xin, Andre Liebenberg, Ivonne Liebenberg, and Lawrence Powell. "Decomposing diversification effect: evidence from the U.S. property-liability insurance industry." Insurance Markets and Companies: Analyses and Actuarial Computations 8, no. 1 (2017): 16–26. http://dx.doi.org/10.21511/imc.08(1).2017.02.

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17

Che, Xin, Andre P. Liebenberg, Ivonne A. Liebenberg, and Lawrence S. Powell. "Decomposing diversification effect: evidence from the U.S. property-liability insurance industry." Insurance Markets and Companies 8, no. 1 (2017): 16–28. http://dx.doi.org/10.21511/ins.08(1).2017.02.

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Prior literature suggests that diversified property-liability (P/L) insurers underperform their focused counterparts. While most studies focus on insurers’ overall performance, there is an absence of evidence regarding whether the underperformance is driven by underwriting or investment profitability. The authors develop and test hypotheses of diversification’s separate effect on underwriting and investing in the U.S. property-liability (P/L) insurance industry. It is found that diversified insurers outperform their focused counterparts in terms of investment return, but that they underperform in terms of underwriting profitability. The results are robust to corrections for endogeneity bias and a matched sample analysis.
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18

Wiersema, Margarethe F., and Harry P. Bowen. "Corporate diversification: the impact of foreign competition, industry globalization, and product diversification." Strategic Management Journal 29, no. 2 (2007): 115–32. http://dx.doi.org/10.1002/smj.653.

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19

Park, Kwangmin, and SooCheong (Shawn) Jang. "Effects of within-industry diversification and related diversification strategies on firm performance." International Journal of Hospitality Management 34 (September 2013): 51–60. http://dx.doi.org/10.1016/j.ijhm.2013.02.009.

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20

Kim, Keungoui, Junseok Hwang, Sungdo Jung, and Eungdo Kim. "The Optimal Diversification Strategy in Pharmaceutical Industry: Balance-centred or Hetero-centred?" Science, Technology and Society 26, no. 2 (2021): 272–95. http://dx.doi.org/10.1177/09717218211005616.

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Due to high uncertainty of product development and business environment, firm-level diversification has been regarded as one of the most effective methods in pharmaceutical firms. In previous study, firm-level diversification was discussed by different value chains of market, product, and technology. However, in most cases, the diversification itself was adopted in a simple manner although its property contains different aspects and the results varies depending on the diversity property of selected index. In addition, the existing approach for measuring firm’s product/market diversification using sales information distinguished by standard industry classification cannot provide direct implication as different strategies are made for market and product diversification. Therefore, this study examines the effects of firm-level diversification on business and innovation performances in pharmaceutical firms by considering (1) three diversification types: market, product, and technology, (2) clear separation between market and product diversification, and (3) two diversification perspectives: balance-centred and hetero-centred. For empirical analysis, an integrated firm-level data set combining from Medtrack, Orange Book, Compustat and Total Patent database is used. From the result, in case of market diversification, less market heterogeneity causes significant influence on business performance. For product and technology, a concentrated and greater heterogeneity of product diversification are turned out to promote business performance, while the more intensive and heterogeneous technology diversification has been shown to improve innovation performance.
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21

Lee, Meng-Horng, and Chee-Wooi Hooy. "Country Versus Industry Diversification in ASEAN-5." Emerging Markets Finance and Trade 49, no. 2 (2013): 44–63. http://dx.doi.org/10.2753/ree1540-496x490204.

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22

Baidorov, D. Y., and D. Y. Faikov. "Diversification of production in the nuclear industry." Economic Revival of Russia, no. 3(65) (2020): 96–109. http://dx.doi.org/10.37930/1990-9780-2020-3-65-96-109.

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23

Dunn, Kimberly, and Siva Nathan. "Analyst Industry Diversification and Earnings Forecast Accuracy." Journal of Investing 14, no. 2 (2005): 7–14. http://dx.doi.org/10.3905/joi.2005.517169.

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24

Diggle, Jenny, Robert Brooks, and John Shannon. "International diversification of the funds management industry." Applied Economics Letters 6, no. 10 (1999): 663–67. http://dx.doi.org/10.1080/135048599352466.

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25

Hamilton, R. T. "Diversification and concentration in New Zealand industry∗." New Zealand Economic Papers 25, no. 2 (1991): 151–70. http://dx.doi.org/10.1080/00779959109544174.

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26

Ferrier, Gary D., Shawna Grosskopf, Kathy J. Hayes, and Suthathip Yaisawarng. "Economies of diversification in the banking industry." Journal of Monetary Economics 31, no. 2 (1993): 229–49. http://dx.doi.org/10.1016/0304-3932(93)90046-i.

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27

Gemba, Kiminori. "Diversification strategies of the Japanese materials industry." R & D Enterprise: Asia Pacific 3, no. 3 (2000): 12–17. http://dx.doi.org/10.5172/impp.2000.3.3.12.

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28

Sukcharoen, Kunlapath, and David J. Leatham. "Dependence and extreme correlation among US industry sectors." Studies in Economics and Finance 33, no. 1 (2016): 26–49. http://dx.doi.org/10.1108/sef-01-2015-0021.

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Purpose – The purpose of this paper is to examine the degree of dependence and extreme correlation (i.e. tail dependence) among US industry sectors. Design/methodology/approach – This paper makes use of both conventional measures of dependence (the Pearson’s correlation coefficient, Spearman’s rho and Kendall’s tau) and copula measures of extreme correlations (including the same-direction and cross-tail dependence coefficients) to explore sector diversification opportunities. The paper splits the full sample in three periods, namely, 1995 to 2000, 2001 to 2006 and 2007 to 2012, to access the extent to which the dependence results change through time. Findings – This research provides three important findings. First, the degree of dependence and same-direction extreme correlations are high, whereas the cross-extreme correlations are considerably low. Second, the sector pairs offering the best and worst tail diversification change across sample periods. Third, the traditional dependence measures suggest that benefits for sector diversification have decreased over all sample periods, while the potential for sector diversification during extreme events has just started to disappear in the most recent period. Practical implications – An investor should consider both the normal co-movements and extreme co-movements among sector indices to maximize diversification benefits. Originality/value – Given the limited empirical investigations of the degree of dependence and extreme correlation at a sector level, the results from this research should provide additional and valuable information for both investors and empirical researchers about portfolio diversification and risk management.
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29

Farjoun, Moshe. "Beyond Industry Boundaries: Human Expertise, Diversification and Resource-Related Industry Groups." Organization Science 5, no. 2 (1994): 185–99. http://dx.doi.org/10.1287/orsc.5.2.185.

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30

Lin, Ying-Jan. "Alliance Diversification in Multimarket Ecosystems:from Cross-industry to Intra-Industry Alliances." Academy of Management Proceedings 2012, no. 1 (2012): 14201. http://dx.doi.org/10.5465/ambpp.2012.14201abstract.

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31

BUDAY, Š., Z. FEDERIČOVÁ, and R. VAJCÍKOVÁ. "Diversification of farm business." Agricultural Economics (Zemědělská ekonomika) 55, No. 2 (2009): 77–83. http://dx.doi.org/10.17221/583-agricecon.

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One of the measures of the Sectoral Operational Programme Agriculture and Rural Development is focused on the diversification of agricultural activities. The analysis of the measure showed the greatest interest in financial support among the subjects aimed at agritourism and rural tourism. The field of tourism dominates also among the number of the approved projects. The share of other diversification activities is very low. The analysis of other profitable activities in the Farm Structure Census and Farm Structure Survey by the type of activities shows that the total number of agricultural enterprises with other profitable activities decreased in 2005 compared to 2001 and 2003. The total amount of agricultural enterprises with other profitable activities in the Slovak Republic reached 3 219 in 2001, 4 465 in 2003, and 2 066 enterprises in 2005. In 2005, the number of the enterprises increased in the field of craft industry, wood processing, fishery, generating energy from renewable resources and contracted work.
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Choi, Fei, Chi Hon, Yan Mao, and Ivan Lai. "Sustainable Development for Small Economy and Diversification from a Dominant Industry: Evidence from Macao." Sustainability 11, no. 6 (2019): 1626. http://dx.doi.org/10.3390/su11061626.

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While the Macao gambling industry has developed prosperously, its rapid development raises a problem of economic dependence on gambling that restricts economic diversification and causes a sustainable issue of non-gambling industries. In recent years, regulating and controlling the appropriate scale of the gambling industry have been regarded as a solution for sustainable economic development. Consequently, it is quite important to give a quantitative scale to the future development of the gambling industry. This study aims to estimate the appropriate scale of the gambling industry under the expectation of the optimal development of moderate economic diversification in Macao. This study employs the method of Measuring Economic Diversification in Hawaii in 2011 to evaluate the levels of diversification of Macao’s economy. A Data Envelopment Analysis (DEA) efficiency calculated by a bootstrapping model is applied to obtain the operational efficiency of Macao’s gambling industry. A transition probability matrix in three scenarios is predicted by expert interviews and industry interviews. The appropriate scale of Macao’s gambling industry until 2021 is forecasted by Markov chain. The predicted result shows that the growth rate of gambling will not exceed 3% in terms of achieving the goal of optimal developing moderate economic diversification in Macao.
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Lomovcev, D., M. Kizimov, and P. Shevarin. "Main Priorities of the Russian Chemistry Diversification." Scientific Research and Development. Economics 8, no. 5 (2020): 15–18. http://dx.doi.org/10.12737/2587-9111-2020-15-18.

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There foreign economic activities of domestic chemical industry are considering in the article. There the prerequisites of the industry diversification are revealed, the enhancement priorities of the industry structure are marked. The authors outline main phases of the chemistry diversification in Russian present-day conditions.
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Patel, Pankaj C., Giuseppe Criaco, and Lucia Naldi. "Geographic Diversification and the Survival of Born-Globals." Journal of Management 44, no. 5 (2016): 2008–36. http://dx.doi.org/10.1177/0149206316635251.

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The staged internationalization model posits that firms internationalize incrementally over time. However, born-globals are less likely to follow a more gradual model of staged internationalization, and they must decide on the scope of internationalization at their founding to exploit entrepreneurial opportunities on a global scale. Because returns from international expansion must be considered along with the risk of failure, we propose that born-globals’ local industry conditions moderate the relationship between the scope of intraregional diversification (geographic diversification within a region) or interregional diversification (geographic diversification across different regions) and survival. Using a sample of 680 Swedish born-globals founded in 2002, 2003, or 2004 and followed until 2010; data from Swedish Customs; and archival performance data, we find that interregional geographic diversification increases—and that intraregional diversification decreases—the likelihood of failure, which declines further when born-globals undertake intraregional geographic diversification under higher environmental dynamism in the home country industry. Conversely, undertaking interregional geographic diversification even when the home country industry is munificent increases the likelihood of failure (marginally significant). The findings are robust to several alternative specifications.
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35

Ndungu, John Gichia, and Willy Muturi. "Effect of Diversification on Financial Performance of Commercial Banks in Kenya." International Journal of Current Aspects 3, no. V (2019): 267–85. http://dx.doi.org/10.35942/ijcab.v3iv.67.

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Diversification plays a vital role in risk management and consequently financial performance of commercial banks. Diversification mitigates systemic risk facing a commercial bank and thus reduces the probability of bank failure. In Kenya, commercial banks have been diversifying their business by increasingly offering new services such as mobile banking, agency banking, bank-assurance, faceless banking and integrating microfinance in their banking system. Diversification by the commercial banks is premised on the need to enhance financial performance. This has mainly emanated from banking industry having undergone numerous regulations regimes which over the years have affected financial performance of these entities. Empirical literature shows that diversification may not always lead to higher financial performance due to increased overheads and exhausted economies of scale. The study sought to determine the effect of diversification on financial performance of commercial banks in Kenya. The specific objectives of the study were to determine the effect of income diversification on financial performance of commercial banks in Kenya, to examine the effect of geographical diversification on financial performance of commercial banks in Kenya and to examine the effect of product diversification on financial performance of commercial banks in Kenya. Secondary data used by the study was collected for five years period (2013-2017 on annual basis). All the commercial banks were studied. Data was analysed using descriptive and inferential statistics and presented in tables and figures. The study found that Income Source Diversification and Geographical Diversification had a positive effect on the financial performance of the commercial banks while the Product Diversification had a negative impact the financial performance the commercial banks. The findings from the OLS regression analysis revealed that the diversification components studied namely product diversification, geographical diversification and income diversification explain up to 13.3% of the variations in return on assets (R2=0.133) and 18.7% of the variations in return on equity (R2=0.187). The study concluded that financial performance of the commercial banks in Kenya can be accounted for by the diversification strategies that have been implemented. It was further concluded that increased formulation and implementation of additional diversification strategies resulted in significant improvement in the financial performance of the commercial banks. The study recommended that managers at the commercial banks to make formulation and implementation of diversifications as a key organizational priority. Before the adoption of any particular diversification, the management of the commercial banks are econcouraged to first determine the suitability of that particular diversification strategies based on the organization structure, culture and policies and the overall intended outcomes. The study recommends that the government and other regulatory bodies to create favourable policies on the implementation of diversifications in commercial banks. This will ensure that there is effectiveness, efficiency as well as consistency in the use and adoption of diversifications by not only the banks but also other organizations in different sectors.
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Schiavone, Francesco. "Le strategie di crescita delle imprese elettriche europee dopo la liberalizzazione." MERCATI & COMPETITIVITÀ, no. 3 (September 2009): 91–115. http://dx.doi.org/10.3280/mc2009-003006.

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- The paper stresses how the recent directives of European Commission (aimed at liberalising the European electricity industry) affected the growth strategies of the main European electricity companies during the last 10 years. The most used strategies were diversification in other utilities markets (e.g. gas and telecommunications) and internationalisation (mainly via acquisitions of foreign electricity companies). These strategies were crucial in order to allow the transition of these companies towards the "multi- utility" business model.Keywords: electricity industry, liberalisation, firm strategies, internationalisation, diversification, acquisitionsParole chiave: industria elettrica, liberalizzazione, strategie d'impresa, internazionalizzazione, diversificazione, acquisizioni
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37

Al-Jassar, Sulaiman, and Imad A. Moosa. "Country Effects, Industry Effects and the Effectiveness of International Diversification Within the GCC Region." Review of Pacific Basin Financial Markets and Policies 22, no. 04 (2019): 1950028. http://dx.doi.org/10.1142/s0219091519500280.

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A hedging approach is used to examine the effectiveness of international diversification within the Gulf Co-operation Council (GCC) region. By using data covering the six GCC countries (Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, and UAE) and various sectors, we find that diversification across whole markets is more effective than diversification across sectors, irrespective of whether the constructed portfolios contain two or more assets. The results also reveal that diversification among several markets or sectors is more effective than diversification among two markets or sectors.
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38

Wang, Shan-Huei, Chung-Jen Chen, Andy Ruey-Shan Guo, and Ya-Hui Lin. "Strategy, capabilities, and business group performance." Management Decision 58, no. 1 (2020): 76–97. http://dx.doi.org/10.1108/md-12-2017-1213.

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Purpose The purpose of this paper is to examine the relationships among choice of industry diversification, capabilities and business group performance, as well as to point out the potential concern about endogenous role of industry diversification. Design/methodology/approach Using data from the top 100 business groups in Taiwan from TEJ database. This study uses Heckman’s two-step estimation procedure and contingency model to achieve unbiased results and examine our hypotheses. Findings The results of this study find that if business groups’ marketing or operational capabilities are strong they should adopt a high level of diversification strategy and if business groups’ R&D capability is strong they should adopt a low level one. The results of this study also show that the endogenous problem of industry diversification exists, and needs to be considered. Moreover, our finding confirms the importance of capability–strategy fit, which, in turn, can achieve better performance. Practical implications On average, high industry diversification groups perform better than low industry diversification groups after controlling for endogeneity issues. Business groups can achieve better performance if their strategy choices match the capabilities they encounter. Managers should pay attention to strategy-capability fit issues. Specifically, they should review their organizational capabilities as well as check their strategies within firms. Originality/value This study is one of the first that attempts to explore the endogenous role of diversification strategy choices, and empirical examine strategy-capability fit on business group performance.
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39

Movchan, S. "Diversification of defense industry enterprises in St. Petersburg." ELECTRONICS: Science, Technology, Business, no. 9 (2018): 22–24. http://dx.doi.org/10.22184/1992-4178.2018.180.9.22.24.

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40

Galbraith, Craig, Bruce Samuelson, Curt Stiles, and Greg Merrill. "Diversification, Industry Research and Development, and Market Performance." Academy of Management Proceedings 1986, no. 1 (1986): 17–20. http://dx.doi.org/10.5465/ambpp.1986.4978277.

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41

Cavaglia, Stefano M. F. G., Dimitris Melas, and George Tsouderos. "Cross-Industry and Cross-Country International Equity Diversification." Journal of Investing 9, no. 1 (2000): 65–71. http://dx.doi.org/10.3905/joi.2000.319401.

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42

Fløysand, Arnt, and Stig-Erik Jakobsen. "Regional diversification in the Norwegian fish-processing industry." Norsk Geografisk Tidsskrift - Norwegian Journal of Geography 55, no. 1 (2001): 17–25. http://dx.doi.org/10.1080/00291950116717.

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43

Fløysand, Arnt, and Stig-Erik Jakobsen. "Regional diversification in the Norwegian fish-processing industry." Norsk Geografisk Tidsskrift 55, no. 1 (2001): 17–25. http://dx.doi.org/10.1080/002919501300061364.

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44

Haron, Haniza. "Diversification of roles for career sustainability in industry." Journal of Physics: Conference Series 1174 (February 2019): 012011. http://dx.doi.org/10.1088/1742-6596/1174/1/012011.

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Steen, Markus, and Tyson Weaver. "Incumbents’ diversification and cross-sectorial energy industry dynamics." Research Policy 46, no. 6 (2017): 1071–86. http://dx.doi.org/10.1016/j.respol.2017.04.001.

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Bishop, Paul. "Impediments to diversification in the UK defense industry." Defense Analysis 10, no. 1 (1994): 96–97. http://dx.doi.org/10.1080/07430179408405609.

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Tucker, Jonathan, Paul Bishop, and Melanie Thomas. "Diversification and performance in the UK defense industry." Defense Analysis 13, no. 3 (1997): 271–82. http://dx.doi.org/10.1080/07430179708405737.

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Nguyen, Thang, and Charlie X. Cai. "Value-enhancing Learning from Industry-wide Diversification Experience." British Journal of Management 27, no. 2 (2015): 323–37. http://dx.doi.org/10.1111/1467-8551.12151.

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Min, Jungwon, and Hitoshi Mitsuhashi. "Sources of transfer problems in within-industry diversification." Industrial and Corporate Change 25, no. 4 (2015): 591–609. http://dx.doi.org/10.1093/icc/dtv043.

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Bishop, Paul. "Diversification: some lessons from the UK defence industry." Management Decision 33, no. 1 (1995): 58–62. http://dx.doi.org/10.1108/00251749510075392.

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