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This study proposes to understand the conditions favorable for readiness for organizational change. The analysis helps in proposing managerial interventions that would be useful for change management in an organization.

The study employs an empirical methodology to investigate the effect of individual and organizational factors on readiness for organizational change. The study has used descriptive research design. Bivariate linear regression is used to test the hypotheses, and multiple regression is used to identify the pertinent factor that affect individual's readiness for organizational change. Thereby, a causal relationship model is proposed, using few pertinent factors which are tested using the structured equation modeling (SEM) technique.

First, each of the factors independently has a significant effect on readiness for organizational change. Second, the prior experience of change, commitment towards organization and participation in decision-making are the pertinent factors that affect readiness for organizational change. Lastly, commitment towards organization partially mediates the relation between participation in decision-making and readiness for organizational change.

The analysis helps in proposing managerial interventions that would be useful for change management in an organization. It investigates how individual and organizational characteristics influence employees' readiness for organizational change, causing them to adopt the change process.

To the best of the authors’ knowledge, this is one of the first studies that investigates the pertinent individual factors and the organizational factors that affect readiness for organizational change in the context of an emerging economy, India.

Sustainable employability has emerged as a multifaceted construct that measures individuals' abilities to function in the labour market throughout their working lives. Therefore, it is no longer just about analysing how to achieve a successful transition from school/university to employment, but also about identifying the conditions that will allow people to continue to be capable and motivated in the long term. The aim of this work was to identify and rank the personal factors of an individual that contribute to his or her perceived sustainable employability.

The authors used a quantitative methodology to estimate the structural model proposed. A stratified random procedure was used to administer an online questionnaire to 202 university master’s degree students. Before testing the structural model, the validation of each scale was performed, both at the exploratory and confirmatory levels.

The results indicate that four groups were key to improve individual sustainable employability: (1) Health Status; (2) Career Competencies; (3) Core Self-Evaluations and (4) Overcoming Competencies.

The results are of interest to any individual, employed or not, insofar as they can reflect on the relevance of each category and how to improve them at the individual level.

This study contributes to research on sustainable employability focus on the analysis of young people by providing empirical evidence on its relationship with other key variables, in an area where the literature remains mainly conceptual and centred in workers.

This study aims to explore personal and organizational factors in mitigating fraud intention through machiavellian personality, altruistic personality, religiousity, whistleblowing system, and accounting firm size. Companies will suffer greater losses if they cannot prevent fraudulent practices. The fraud hexagon theory is considered effective in detecting the possibility of fraud and the tendency of fraud motivated by personal and organizational factors. Therefore, the researchers examined several factors, including Machiavellian, altruism, religiosity, whistleblowing system and accounting firm size in mitigating fraud intention.

This study used a self-administered survey of accountants in Indonesia. The accountants were selected as the sample because the accounting profession has considerable potential in committing fraud. To avoid common method bias, the authors performed ex ante and ex post on the questionnaire. This research model was tested using structural equation modeling-partial least square.

The results revealed that personal factors in the form of Machiavellian, altruism and religiosity had a direct impact on decreasing fraud intention. In addition, whistleblowing system and accounting firm size were able to promote the effectiveness of fraud mitigation.

This study uses one profession, namely, accountants, so it requires further research to see the similarity of results in other professions.

The results contribute to managerial decision-making. Companies should include personal tests during employee recruitment because personal factors are the key to determining individual fraud behavior.

Combining personal factors and organizational factors can promote the success of the internal control system, so that individuals are encouraged to do ethical things.

This study combines personal and organizational factors in mitigating fraud, so as to know accurately which factors are most capable of mitigating fraud.

During everyday work, individuals often engage in unplanned conversations that help them develop relationships, share information and coordinate tasks. Unfortunately, the work-from-home mandates issued due to the pandemic have reduced the frequency of unplanned conversations among employees. So, as businesses reopen, organizations are considering post-pandemic workplace solutions that can facilitate unplanned conversations. To aid these efforts and move research and theory on unplanned conversations forward, this study proposes and tests a multi-factor model of the antecedents of unplanned conversations.

This study adopted a multi-methodological approach and collected data using automated sensing technology, structured observations and cross-sectional survey methods. A total of 5,297 unplanned conversations among 61 employees were recorded using the custom mobile application and structured observations. Cross-sectional survey data about these employees' work contexts were also collected.

The study results showed that the model significantly predicted the frequency of unplanned conversations. Notably, technical expertise, perceived time pressure and team psychological safety significantly predicted the frequency of unplanned conversations. The study findings have both theoretical and practical significance.

Previous research studies have primarily focused on the influence of workplace designs on unplanned conversations. However, this study demonstrates that several other factors facilitate unplanned conversations. This research theorizes and empirically tests the relationship between unplanned conversations and several individual, team and organizational factors.

This study investigates the impact of internal expectations, such as fantasy of success and fear of failure and external factors, such as social environment and past experiences, on entrepreneurial choice.

Based on achievement motivation and social cognitive theories, the authors construct hypotheses and use secondary data from the Global Entrepreneurship Monitor (GEM) database and Economic Freedom Index report to empirically test the hypotheses. The authors also use propensity score matching to solve the endogeneity issue and test the robustness.

Internal expectations (fantasy of success and fear of failure) on business outcomes inversely affect entrepreneurial choices, with a vibrant business environment amplifying and past failure experience mitigating these effects.

Due to the economic recession, governments encourage small businesses. Thus, the complexity of individual entrepreneurial motivations and influencing factors necessitate deeper exploration. This study is one of the first research offering insights into entrepreneurial motivations from combined dimensions and providing theoretical support for strategies promoting public entrepreneurship.

This paper aims to examine primarily the readiness for change at an individual level. Additionally, this study examines the impact of internal change factors on individual readiness for change as well as their effect across nations.

The research relies on a quantitative research approach. A survey was conducted among 241 managers across 33 countries. Covariance-based structural equation modeling (CB-SEM) approach and multigroup analyses have been applied for hypothesis testing.

Our research contributes a novel perspective on individual readiness for change and unveils how employees' perceptions of context, process and intensity as internal change factors influence their readiness for change. The findings give support to the assertion that employees' attitudes toward change are altered by individual perceptions.

Our research explores the moderating effect of nationality used through a grouped variable and finds significant impacts of clusters of nationalities. Thus, nationality may serve as a proxy for culture that might be examined in future research studies in a more deeply focused way to include beliefs, values and societal norms.

The new understanding of the topic “individual readiness for change” opens up new research directions and enriches ongoing discussions about societal change and sustainable project management. This topic creates a link to situational leadership principles, considers cultural factors and, therefore, advocates for a people-centric approach to modern stakeholder management in order to achieve commitment toward change initiatives and consequent project success.

Considering that the path toward the successful implementation of any change project is highly contingent on personal dispositions to change, our research uncovers the potential impact of individual perceptions on employees' readiness for change.

Our major contribution is to highlight the importance of considering individual perceptual drivers of readiness for change and to acknowledge the moderating effect of nationality as a contextual factor altering the relationship between perception of change and individual readiness for change.

This research aims at the theory of planned behavior (TPB) and the global entrepreneurship monitor (GEM) framework – How can cognitive traits for entrepreneurship be used by incubators and accelerators?

In this research the authors analyze the factors that catalyze the founding of new technology-based firms. From a practitioner stand-point, the GEM posits that these factors can be classified as contextual, social and individual factors. The present study focuses on the latter, looking into how demographic characteristics, possession of human capital and cognitive traits interrelate. The authors rely on a sample of 141 technological new ventures being incubated in Madrid, Spain, which is analyzed with the multilayer perceptron technique.

The results show that cognitive traits, as defined in the TPB, act as the “last mile” in the entrepreneurial decision process, while demographic and human capital factors appear to antecede them. These results are relevant for incubators and accelerators, which now gain a better, more complete understanding of success factors of their incubatees.

This research deals both with practitioners' view of entrepreneurship and with scientific literature, intertwining both with the purpose of providing valuable information for incubators and accelerators.

The research study intends to gain a better understanding of members' behaviors in the context of crowdsourcing contests. The authors examined the key factors that can motivate or discourage contributing to a team and within the community.

The authors conducted 21 semi-structured interviews with Kaggle.com members and analyzed the data to capture individual members' contributions and emerging determinants that play a role during this process. The authors adopted a qualitative approach and used standard thematic coding techniques to analyze the data.

The analysis revealed two processes underlying contribution to the team and community and the decision-making involved in each. Accordingly, a set of key factors affecting each process were identified. Using Holbrook's (2006) typology of value creation, these factors were classified into four types, namely extrinsic and self-oriented (economic value), extrinsic and other-oriented (social value), intrinsic and self-oriented (hedonic value), and intrinsic and other-oriented (altruistic value). Three propositions were developed, which can be tested in future research.

The study has a few limitations, which point to areas for future research on this topic. First, the authors only assessed the behaviors of individuals who use the Kaggle platform. Second, the findings of this study may not be generalizable to other crowdsourcing platforms such as Amazon Mechanical Turk, where there is no competition, and participants cannot meaningfully contribute to the community. Third, the authors collected data from a limited (yet knowledgeable) number of interviewees. It would be useful to use bigger sample sizes to assess other possible factors that did not emerge from our analysis. Finally, the authors presented a set of propositions for individuals' contributory behavior in crowdsourcing contest platforms but did not empirically test them. Future research is necessary to validate these hypotheses, for instance, by using quantitative methods (e.g. surveys or experiments).

The authors offer recommendations for implementing appropriate mechanisms for contribution to crowdsourcing contests and platforms. Practitioners should design architectures to minimize the effect of factors that reduce the likelihood of contributions and maximize the factors that increase contribution in order to manage the tension of simultaneously encouraging contribution and competition.

The research study makes key theoretical contributions to research. First, the results of this study help explain the individuals' contributory behavior in crowdsourcing contests from two aspects: joining and selecting a team and content contribution to the community. Second, the findings of this study suggest a revised and extended model of value co-creation, one that integrates this study’s findings with those of Nov et al. (2009), Lakhani and Wolf (2005), Wasko and Faraj (2000), Chen et al. (2018), Hahn et al. (2008), Dholakia et al. (2004) and Teichmann et al. (2015). Third, using direct accounts collected through first-hand interviews with crowdsourcing contest members, this study provides an in-depth understanding of individuals' contributory behavior. Methodologically, this authors’ approach was distinct from common approaches used in this research domain that used secondary datasets (e.g. the content of forum discussions, survey data) (e.g. see Lakhani and Wolf, 2005; Nov et al., 2009) and quantitative techniques for analyzing collaboration and contribution behavior.

The authors advance the broad field of crowdsourcing by extending the literature on value creation in the online community, particularly as it relates to the individual participants. The study advances the theoretical understanding of contribution in crowdsourcing contests by focusing on the members' point of view, which reveals both the determinants and the process for joining teams during crowdsourcing contests as well as the determinants of contribution to the content distributed in the community.

This paper aims to build upon the accountability pyramid model by presenting two studies that examine the dimensionality of individual accountability among Amazon Mechanical Turk (MTurk) gig workers.

For the first study, aimed at investigating the dimensionality of individual accountability of gig workers, the authors collected data from MTurkers by administering two surveys in the English and Mandarin Chinese languages with 185 respondents. The authors implemented principal component analysis and confirmatory factor analysis to analyse the data. For the second study, aimed at establishing validation of the dimensionality found in the first study, the authors collected data from an additional 148 respondents.

The results indicated that the intensity and salience dimensions merged into one factor that the authors labelled Accountability Significance, while the process and outcome dimensions merged into one factor labelled Accountability Focus. Additionally, the authors found that individual accountability is a second-order construct encompassing Accountability Significance and Accountability Focus as first-order factors. The authors validated the findings in the second study.

To the best of the authors’ knowledge, this research is the first quantitative study investigating the individual accountability of gig workers. The validation of individual accountability in MTurkers offers valuable insights into MTurkers’s Hybrid Accountability Focus and Accountability Significance.