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Journal articles on the topic 'IT contribution'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Choi, James J. "Contributions to Defined Contribution Pension Plans." Annual Review of Financial Economics 7, no. 1 (December 7, 2015): 161–78. http://dx.doi.org/10.1146/annurev-financial-111914-041834.

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2

von Danwitz, Luc. "The Contribution of EU Law to the Regulation of Online Speech." Michigan Technology Law Review, no. 27.1 (2021): 167. http://dx.doi.org/10.36645/mtlr.27.1.contribution.

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Internet regulation in the European Union (EU) is receiving significant attention and criticism in the United States. The European Court of Justice’s (ECJ) judgment in the case Glawischnig-Piesczek v. Facebook Ireland, in which the ECJ found a take-down order against Facebook for defamatory content with global effect permissible under EU law, was closely scrutinized in the United States. These transsystemic debates are valuable but need to be conducted with a thorough understanding of the relevant legal framework and its internal logic. This note aims to provide the context to properly assess the role the ECJ and EU law play in the regulation of online speech. The note argues that the alleged shortcomings of the Glawischnig- Piesczek case are actually the result of a convincing interpretation of the applicable EU law while respecting the prerogatives of the member states in the areas of speech regulation, jurisdiction, and comity. Most of the issues that commentators wanted the ECJ to decide were beyond its reach in this case. The paper argues that EU law’s contribution in the field of online speech regulation should be regarded as a realization of the dangers of illegal online content, resulting in an effective protection of the interests harmed. This implies the rejection of a “whack-a-mole” approach towards illegal online content in favor of more effective ways to protect against the harm caused by illegal online speech. At the same time, the case highlights the necessity to establish a workable theory of jurisdiction and comity in the digital age.

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3

Opp, Karl-Dieter. "Soft Incentives and Collective Action: Participation in the Anti-Nuclear Movement." British Journal of Political Science 16, no. 1 (January 1986): 87–112. http://dx.doi.org/10.1017/s0007123400003811.

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The standard explanation of collective action in modern political economy can be outlined as follows: a collective (or public) good is only an incentive for a joint contribution to its provision, if those who benefit from the good at least perceive some influence arising from their contribution, the costs of contributing being otherwise greater than the benefits derived from it; otherwise joint efforts for the provision of the collective good will not ensue. If the good itself does not stimulate collective action, contributions will nevertheless occur when selective incentives become effective. These are benefits arising from contributing and/or costs resulting from no contribution being made.

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4

Avezov, Xenia. "Why Contribute? Understanding Asian Motivations for Troop Contribution to Peace Operations." Journal of International Peacekeeping 18, no. 3-4 (November 26, 2014): 256–80. http://dx.doi.org/10.1163/18754112-1804008.

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This article provides an overview of South and Northeast Asian motivations for contributing troops to United Nations peace operations. It identifies five groups of countries based on their motivations and characteristics: (1) Bangladesh, Sri Lanka, and Nepal, (2) India and China, (3) Japan and South Korea, and two individual cases, (4) Mongolia and (5) Pakistan. It argues that the size and level of development of a troop-contributing country are important determinants for the pattern a country follows and for the size of its contribution. In addition, the article suggests that countries with both political and military motivations for contribution tend to provide the most troops, with either economic or geostrategic motivations reinforcing the commitment for contribution. In every case, normative considerations and the perception of a positive international image serve as motivations for contribution, but these do not explain the size of a country’s contributions.

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5

Hou, Chung-Yi, and Matthew Mayernik. "Formalizing an Attribution Framework for Scientific Data/Software Products and Collections." International Journal of Digital Curation 11, no. 2 (July 4, 2017): 87–103. http://dx.doi.org/10.2218/ijdc.v11i2.404.

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As scientific research and development become more collaborative, the diversity of skills and expertise involved in producing scientific data are expanding as well. Since recognition of contribution has significant academic and professional impact for participants in scientific projects, it is important to integrate attribution and acknowledgement of scientific contributions into the research and data lifecycle. However, defining and clarifying contributions and the relationship of specific individuals and organizations can be challenging, especially when balancing the needs and interests of diverse partners. Designing an implementation method for attributing scientific contributions within complex projects that can allow ease of use and integration with existing documentation formats is another crucial consideration. To provide a versatile mechanism for organizing, documenting, and storing contributions to different types of scientific projects and their related products, an attribution and acknowledgement matrix and XML schema have been created as part of the Attribution and Acknowledgement Content Framework (AACF). Leveraging the taxonomies of contribution roles and types that have been developed and published previously, the authors consolidated 16 contribution types that could be considered and used when accrediting team member’s contributions. Using these contribution types, specific information regarding the contributing organizations and individuals can be documented using the AACF. This paper provides the background and motivations for creating the current version of the AACF Matrix and Schema, followed by demonstrations of the process and the results of using the Matrix and the Schema to record the contribution information of different sample datasets. The paper concludes by highlighting the key feedback and features to be examined in order to improve the next revisions of the Matrix and the Schema.

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6

Chow, J. C., J. G. Watson, D. H. Lowenthal, L. W. A. Chen, B. Zielinska, L. R. Mazzoleni, and K. L. Magliano. "Evaluation of organic markers for chemical mass balance source apportionment at the Fresno Supersite." Atmospheric Chemistry and Physics 7, no. 7 (April 10, 2007): 1741–54. http://dx.doi.org/10.5194/acp-7-1741-2007.

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Abstract. Sources of PM2.5 at the Fresno Supersite during high PM2.5 episodes occurring from 15 December 2000–3 February 2001 were estimated with the Chemical Mass Balance (CMB) receptor model. The ability of source profiles with organic markers to distinguish motor vehicle, residential wood combustion (RWC), and cooking emissions was evaluated with simulated data. Organics improved the distinction between gasoline and diesel vehicle emissions and allowed a more precise estimate of the cooking source contribution. Sensitivity tests using average ambient concentrations showed that the gasoline vehicle contribution was not resolved without organics. Organics were not required to estimate hardwood contributions. The most important RWC marker was the water-soluble potassium ion. The estimated cooking contribution did not depend on cholesterol because its concentrations were below the detection limit in most samples. Winter time source contributions were estimated by applying the CMB model to individual and average sample concentrations. RWC was the largest source, contributing 29–31% of measured PM2.5. Hardwood and softwood combustion accounted for 16–17% and 12–15%, respectively. Secondary ammonium nitrate and motor vehicle emissions accounted for 31–33% and 9–15%, respectively. The gasoline vehicle contribution (3–10%) was comparable to the diesel vehicle contribution (5–6%). The cooking contribution was 5–19% of PM2.5. Fresno source apportionment results were consistent with those estimated in previous studies.

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7

Chow, J. C., J. G. Watson, D. H. Lowenthal, L. W. A. Chen, B. Zielinska, L. R. Rinehart, and K. L. Magliano. "Evaluation of organic markers for chemical mass balance source apportionment at the Fresno Supersite." Atmospheric Chemistry and Physics Discussions 6, no. 5 (October 17, 2006): 10341–72. http://dx.doi.org/10.5194/acpd-6-10341-2006.

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Abstract. Sources of PM2.5 at the Fresno Supersite during high PM2.5 episodes occurring from 15 December 2000–3 February 2001 were estimated with the Chemical Mass Balance (CMB) receptor model. The ability of source profiles with organic markers to distinguish motor vehicle, residential wood combustion (RWC), and cooking emissions was evaluated with simulated data. Organics improved the distinction between gasoline and diesel vehicle emissions and allowed a more precise estimate of the cooking source contribution. Sensitivity tests using average ambient concentrations showed that the gasoline vehicle contribution was not resolved without organics. Organics were not required to estimate hardwood combustion contributions. The most important RWC marker was the water-soluble potassium ion. The estimated cooking contribution did not depend on cholesterol because its concentrations were below the detection limit in most samples. Winter time source contributions were estimated by applying the CMB model to individual and average sample concentrations. RWC was the most significant source, contributing 29–31% of the measured PM2.5. Hardwood and softwood combustion accounted for 16–17% and 12–15%, respectively. Secondary ammonium nitrate and motor vehicle emissions accounted for 31–33% and 9–15%, respectively. The gasoline vehicle contribution (3–10%) was comparable to the diesel vehicle contribution (5–6%). The cooking contribution was 5–19% of PM2.5. Fresno source apportionment results were consistent with those estimated in previous studies.

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8

Eom, Kihong, and Donald A. Gross. "Contribution Limits and Disparity in Contributions between Gubernatorial Candidates." Political Research Quarterly 59, no. 1 (March 2006): 99–110. http://dx.doi.org/10.1177/106591290605900109.

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9

Bhatt Rushiraj. A, Bhatt Rushiraj A. "Tagore’s Contribution in Education." Indian Journal of Applied Research 3, no. 3 (October 1, 2011): 200–201. http://dx.doi.org/10.15373/2249555x/mar2013/64.

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10

Marumoagae, Motseotsile Clement. "Liability to Pay Retirement Benefits when Contributions were not Paid to the Retirement Fund: A Reply to Mr Nkosi." Potchefstroom Electronic Law Journal 20 (December 13, 2017): 1–39. http://dx.doi.org/10.17159/727-3781/2017/v20i0a1769.

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This paper responds to the fascinating article written by Mr Thulani Nkosi relating to the devastating effects of employers failure to pay over their employees' retirement funds contributions to the relevant retirement funds. In particular, I respond to Nkosi’s main argument that retirement funds should pay withdrawal benefits notwithstanding the fact that they did not receive members’ retirement fund contributions from contributing employers. I argue that while such an approach is understandable, it is nonetheless, legally unsound and further demonstrates that it is not supported by the law as it stands today. I further argue that Nkosi's reliance on the principle of equity as advocated by Professor John Murphy when he was the Pension Funds Adjudicator to a larger extent does not pay attention to how occupational defined contribution funds operates. The basis of my argument is that defined contribution funds rely on members' contribution and it would not be sustainable for these funds to pay retirement benefits to members whose contributions they did not receive.

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11

Cheverud, J. M., and E. J. Routman. "Epistasis and its contribution to genetic variance components." Genetics 139, no. 3 (March 1, 1995): 1455–61. http://dx.doi.org/10.1093/genetics/139.3.1455.

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Abstract We present a new parameterization of physiological epistasis that allows the measurement of epistasis separate from its effects on the interaction (epistatic) genetic variance component. Epistasis is the deviation of two-locus genotypic values from the sum of the contributing single-locus genotypic values. This parameterization leads to statistical tests for epistasis given estimates of two-locus genotypic values such as can be obtained from quantitative trait locus studies. The contributions of epistasis to the additive, dominance and interaction genetic variances are specified. Epistasis can make substantial contributions to each of these variance components. This parameterization of epistasis allows general consideration of the role of epistasis in evolution by defining its contribution to the additive genetic variance.

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12

Wibisono, Chablullah, Indrayani, and Iskandar Muda. "Influence of Local Tax and Zakat Infaq Maslahah Through to Regional Income (Overview of New Trends in Sustainable Development)." International Journal of Financial Research 10, no. 4 (May 6, 2019): 181. http://dx.doi.org/10.5430/ijfr.v10n4p181.

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Conditions Batam Island, Indonesia, economic growth declined from 5.4% in 2016, to under 2% percent in 2017, the disparity is difficult to increase revenue growth in Batam. It is necessary to look beyond the local revenues of local taxes, such as zakat and donation, to contribute to Maslahah through local revenue. Which research aimed at contributing to the Regional Income and Maslahah by using samples taken from the Department of Revenue at Batam City, Amil Zakat Agency (BAZ), Indonesia Religious Leader (MUI), Public Welfare with respondents 190. This study used software AMOS version 23 with Structural Equation Modeling (SEM). The result shows that the variable contribution of local taxes to regional variable income is a significant positive contribution to variable regional Infaq variable income is not notable positive. Tithe variable contribution towards regional variable pay is a significant positive contribution of the variable to variable Maslahah local tax is not significant positive contribution of geographical variables to variable Maslahah income is not a significant negative contribution to mutable Maslahah title variable is significantly positive, Infaq variable contribution towards Maslahah variable is significantly positive, regional changes in contributions by local income tax, donation, charity amounted to 55.2%, a shift Maslahah given by local tax contribution, Infaq, welfare, and regional income amounted to 53.6%. For the local contribution, Maslahah significant positive income to the charity and donation should be maximized not a tax.

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13

Huberman, Gur, Sheena S. Iyengar, and Wei Jiang. "Defined Contribution Pension Plans: Determinants of Participation and Contributions Rates." Journal of Financial Services Research 31, no. 1 (March 15, 2007): 1–32. http://dx.doi.org/10.1007/s10693-007-0003-6.

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14

Varshini, Smt H. G. Amrutha. "Veenā Krishnamāchāriar- Life and Contribution." Indian Journal of Applied Research 3, no. 3 (October 1, 2011): 310–12. http://dx.doi.org/10.15373/2249555x/mar2013/103.

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15

Wolański, Piotr. "Polish Contribution to Space Research." Polish Journal of Aviation Medicine and Psychology 19, no. 3 (July 2, 2013): 45–52. http://dx.doi.org/10.13174/pjamp.19.03.2013.6.

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16

Gudaganavar, Dr Rajashri S., and Dr Nagaraj V. Gudaganavar. "Tourism- Its Contribution to Growth." Paripex - Indian Journal Of Research 3, no. 3 (January 15, 2012): 41–43. http://dx.doi.org/10.15373/22501991/mar2014/13.

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17

Peddibhotla, Naren B., and Mani R. Subramani. "Contributing to Public Document Repositories: A Critical Mass Theory Perspective." Organization Studies 28, no. 3 (March 2007): 327–46. http://dx.doi.org/10.1177/0170840607076002.

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Public document repositories (PDRs) are valuable resources available on the Internet and are a component of the broader information commons freely accessible to the public. Instances of PDRs include the repository of reviews at Amazon.com and the online encyclopedia at Wikipedia. These repositories are created and sustained by the voluntary contributions of individuals who are not compensated for their inputs. This paper draws on and extends critical mass theory in the context of PDRs. Using data on the reviews written by prolific reviewers at Amazon.com and the text of their personal profiles, we find the critical mass of contributors at the PDR not only to be prolific and contributing high-quality reviews, but also to be among the earliest contributors of reviews on products. Reviewer profiles revealed the presence of multiple self-oriented motives (self expression, personal development, utilitarian motives, and enjoyment) and other-oriented motives (social affiliation, altruism, and reciprocity) for contribution. We find that the quality and quantity of contributions are inversely related and the motives for quantity of contribution are different from those related to the quality of contribution. The study highlights that PDRs are viewed by contributors as social contexts even though making contributions is an individual act that does not involve social interaction.

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18

Kumari, S. Ashwini, Saritha Devi, and K. Mayuri. "Family Factors and Academic Achievement: A Comparative Study of Residential School Children and Rural Government School Children." IRA International Journal of Education and Multidisciplinary Studies (ISSN 2455-2526) 7, no. 3 (June 24, 2017): 190. http://dx.doi.org/10.21013/jems.v7.n3.p3.

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<div><p>The study compares the effects of family factors contributing to the High Academic Achievement of Private Residential School Children and Rural Government School Children. Children studying in selected private residential schools and rural government schools in IX and X classes with highest ranks (first 3-4 ranks) in the previous year were selected. Total sample comprised 240 children, 120 from each setting, 60 from IX class and 60 from X class. An Interview schedule was developed by the investigator for the children to know their perceptions about family contributing factors. The study concluded that children of Private Residential Schools and Rural Government Schools were average and similar in their perceptions regarding parental contributions for their Academic Achievement. High Parental Aspirations Expectations helped in high achievement in both groups but comparatively high in Private Residential School children. Whereas contribution of Siblings Relationship and Assistance of others was high in Rural Government School children and average in Private Residential School children. Coming to the gender and age variations in family contributing factors, there was significantly high parental contributions for Academic Achievement of boys than girls in private Residential schools and higher age group children of Rural Government schools have significantly more parental contribution for their Academic Achievement than lower age group children. Achievement in English was highly positively correlated with family’s Economic status in Private Residential schools. There was significant positive correlation between achievement in mathematics and parental contribution, achievement in science and Parental Aspirations in Rural Government School children.</p></div>

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19

Bond, Stephanie L., Persephone Greco-Otto, Raymond Sides, Grace P. S. Kwong, Renaud Léguillette, and Warwick M. Bayly. "Assessment of two methods to determine the relative contributions of the aerobic and anaerobic energy systems in racehorses." Journal of Applied Physiology 126, no. 5 (May 1, 2019): 1390–98. http://dx.doi.org/10.1152/japplphysiol.00983.2018.

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A prospective, randomized, controlled study was designed to determine relative aerobic and anaerobic (lactic and alactic) contributions at supramaximal exercise intensities using two different methods. Thoroughbred racehorses ( n = 5) performed a maximal rate of oxygen consumption (V̇o2max) test and three supramaximal treadmill runs (105, 115, and 125% V̇o2max). Blood lactate concentration (BL) was measured at rest, every 15 s during runs, and 2, 5, 10, 20, 30, 40, 50, and 60 min postexercise. In method 1, oxygen demand was calculated for each supramaximal intensity based on the V̇o2max test, and relative aerobic and anaerobic contributions were calculated from measured V̇o2 and the accumulated oxygen deficit. In method 2, aerobic contribution was calculated using the trapezoidal method to determine V̇o2 during exercise. A monoexponential model was fitted to the postexercise V̇o2 curve. Alactic contribution was calculated using the coefficients of this model. Lactate anaerobic contribution was calculated by multiplying the peak to resting change in BL by 3. Linear mixed-effects models were used to examine the effects of exercise intensity and method (as fixed effects) on measured outcomes ( P ≤ 0.05). Relative aerobic and anaerobic contributions were not different between methods ( P = 0.20). Horses’ mean contributions were 81.4, 77.6, and 72.5% (aerobic), and 18.5, 22.3, and 27.4% (anaerobic) at 105, 115, and 125% V̇o2max, respectively. Individual alactic anaerobic energy was not different between supramaximal exercise intensities ( P = 0.43) and was negligible, contributing a mean of 0.11% of the total energy. Relative energy contributions can be calculated using measured V̇o2 and BL in situations where the exercise intensity is unknown. Understanding relative metabolic demands could help develop tailored training programs. NEW & NOTEWORTHY Relative energy contributions of horses can be calculated using measured V̇o2 and BL in situations where the exercise intensity is unknown. Horses’ mean contributions were 81.4, 77.6, and 72.5% (aerobic), and 18.5, 22.3, and 27.4% (anaerobic) at 105, 115, and 125% of V̇o2max, respectively. Individual alactic capacity was unaltered between supramaximal exercise intensities and accounted for a mean contribution of 0.11% of energy use.

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20

Nihonsugi, Tsuyoshi. "The difference between Partners and Strangers designs in public goods experiments." International Journal of Social Economics 43, no. 6 (June 13, 2016): 554–72. http://dx.doi.org/10.1108/ijse-09-2014-0188.

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Purpose – The purpose of this paper is to focus on conditional cooperation and investigate whether the difference in contributions between Partners and Strangers designs in linear public goods experiments can be explained by differences in beliefs. Design/methodology/approach – The author conducted linear public goods experiments by using Partners and Strangers designs with belief eliciting their group member’s contributions. Findings – The author shows that the difference in the magnitude of the responsiveness of contribution to belief (i.e. the marginal contribution to belief) creates different contribution levels in Partners and Strangers designs. Research limitations/implications – The presented results imply that having a strategic motive increases contributions by increasing the magnitude of the responsiveness of contribution to belief rather than by raising belief level. Originality/value – The main claim of this paper is that “marginal contribution to belief” rather than “belief level” causes the difference in contribution levels between Partners and Strangers. This is the first proven evidence of a difference in belief between Partners and Strangers.

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21

Bauduret, Jean-François. "Contribution 1." Pratiques en santé mentale 66anné, no. 2 (2020): 8. http://dx.doi.org/10.3917/psm.202.0008.

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22

Berlemont, Jean-Philippe. "Contribution 2." Pratiques en santé mentale 66anné, no. 2 (2020): 10. http://dx.doi.org/10.3917/psm.202.0010.

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23

HACKER, Jörg. "Special Contribution." TRENDS IN THE SCIENCES 21, no. 6 (2016): 6_102–6_103. http://dx.doi.org/10.5363/tits.21.6_102.

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24

Cattani, Robert. "Historical Contribution." International Society of Hair Restoration Surgery 3, no. 2 (November 1993): 8.2–8. http://dx.doi.org/10.33589/3.2.0008.

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25

이정배. "Special Contribution." Theological Forum 79, no. ll (March 2015): 105–15. http://dx.doi.org/10.17301/tf.2015.79..005.

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26

Schwartz, Michael, and G. William Domhoff. "Domhoff's Contribution." Contemporary Sociology 14, no. 2 (May 1985): 161. http://dx.doi.org/10.2307/2070127.

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27

Per Bruun, Brockhoff. "Discussion-contribution." Food Quality and Preference 9, no. 3 (May 1998): 160–62. http://dx.doi.org/10.1016/s0950-3293(97)00049-9.

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28

Virgo, Graham. "CONTRIBUTION REVISITED." Cambridge Law Journal 67, no. 2 (June 19, 2008): 254–56. http://dx.doi.org/10.1017/s0008197308000597.

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29

Bradford, Mark A., and Gregory J. Hancock. "Special Contribution." Advances in Structural Engineering 3, no. 1 (January 2000): 105. http://dx.doi.org/10.1260/1369433001501950.

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30

Small, A. "Rutherford's Contribution." Science 276, no. 5312 (April 25, 1997): 513c—517. http://dx.doi.org/10.1126/science.276.5312.513c.

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31

Whitney, Harvey A. K. "Special Contribution." DICP 25, no. 2 (February 1991): 195. http://dx.doi.org/10.1177/106002809102500216.

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32

Tynan, Eithne. "Asian contribution." Nature Climate Change 6, no. 4 (March 24, 2016): 339. http://dx.doi.org/10.1038/nclimate2985.

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33

Thoburn, June. "Important Contribution." Adoption & Fostering 18, no. 2 (June 1994): 59–60. http://dx.doi.org/10.1177/030857599401800217.

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34

Wright, Patrick M. "Rethinking “Contribution”." Journal of Management 41, no. 3 (March 2015): 765–68. http://dx.doi.org/10.1177/0149206315569497.

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35

Greenacre, Michael. "Contribution Biplots." Journal of Computational and Graphical Statistics 22, no. 1 (June 20, 2012): 107–22. http://dx.doi.org/10.1080/10618600.2012.702494.

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36

Young, Caprice. "Lasting Contribution." Journal of School Choice 7, no. 3 (July 2013): 430–31. http://dx.doi.org/10.1080/15582159.2013.818431.

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37

Srinath, S. "Winnicott's contribution." British Journal of Psychiatry 159, no. 4 (October 1991): 587. http://dx.doi.org/10.1192/bjp.159.4.587a.

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38

Resnick, Stephen, and Richard Wolff. "Althusser's Contribution." Rethinking Marxism 4, no. 1 (March 1991): 13–16. http://dx.doi.org/10.1080/08935699108657949.

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39

Basch, Michael Franz. "Kohut's contribution." Psychoanalytic Dialogues 5, no. 3 (January 1995): 367–73. http://dx.doi.org/10.1080/10481889509539074.

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40

&NA;. "Our Contribution." Pediatric Physical Therapy 10, no. 3 (1998): 93. http://dx.doi.org/10.1097/00001577-199801030-00001.

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41

Kritikou, Ekat. "Mother's contribution." Nature Reviews Molecular Cell Biology 8, no. 4 (April 2007): 268–69. http://dx.doi.org/10.1038/nrm2152.

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42

Augusto Klein, Caio, Erick Soares, Cláudio Frugis, Eldad Eitelberg, and Mark Tommey. "CONTRIBUTION KITS." SET EXPO PROCEEDINGS 2, no. 2016 (August 29, 2016): 184–87. http://dx.doi.org/10.18580/setep.2016.52.

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43

SUTER, RJ. "SHORT CONTRIBUTION." Australian Veterinary Journal 80, no. 5 (May 2002): 282. http://dx.doi.org/10.1111/j.1751-0813.2002.tb10840.x.

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MILLER, KA, LL BLACKALL, JK MIFLIN, JM TEMPLETON, and PJ BLACKALL. "Short Contribution." Australian Veterinary Journal 84, no. 3 (June 1, 2007): 95–97. http://dx.doi.org/10.1111/j.1751-0813.2006.tb12237.x.

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45

LANCASTER, MJ, TF JUBB, and IG PASCOE. "Short Contribution." Australian Veterinary Journal 84, no. 3 (June 1, 2007): 98–100. http://dx.doi.org/10.1111/j.1751-0813.2006.tb12238.x.

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46

Kaiserman, Alex. "Causal Contribution." Proceedings of the Aristotelian Society 116, no. 3 (October 2016): 387–94. http://dx.doi.org/10.1093/arisoc/aow013.

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47

Ramsay, Maureen. "Just Contribution." Contemporary Political Theory 1, no. 1 (March 2002): 39–57. http://dx.doi.org/10.1057/palgrave.cpt.9300020.

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48

Bates, Colin. "Solid contribution." Nature 329, no. 6134 (September 1987): 26. http://dx.doi.org/10.1038/329026c0.

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49

Kotvojs, Fiona, and Bradley Shrimpton. "Contribution analysis." Evaluation Journal of Australasia 7, no. 1 (March 2007): 27–35. http://dx.doi.org/10.1177/1035719x0700700105.

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50

Hancock, Dave. "Voluntary contribution." Practice Management 29, no. 1 (January 2, 2019): 30–33. http://dx.doi.org/10.12968/prma.2019.29.1.30.

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