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This empirical study examined links between entrepreneurial personality traits and perception of new venture opportunity in a sample of 207 respondents. Four entrepreneurial personality traits were included to predict respondents℉ perception of new venture opportunity. They are (1) achievement motivation, (2) locus of control, (3) risk propensity, and (4) proactivity.The results of multiple regression analysis show that three of the four entrepreneurial personality traits‐locus of control, risk propensity, and proactivity‐related significantly to perception of new venture opportunity in expected directions. Among the three personality traits, proactivity was found to have the strongest influence over entrepreneurial perception. No significant relationship was found between achievement motivation and perception of new venture opportunity. Among six control variables, only work experience was found to influence perception of new venture opportunity. This study explored links between entrepreneurial personalities and cognition and its results suggest that a combination of trait and cognition approaches contributes to a better understanding of entrepreneurial decision-making process. Both theoretical and practical implications were discussed.

This study investigates when and for whom job crafting may turn into job quitting. The authors hypothesize that approach job crafting relates more positively to turnover intentions and subsequent voluntary job changes among employees with (a) high (vs low) need for career challenges and (b) those with high (vs low) self-esteem.

Data were collected from 575 employees of a large public organization in the Netherlands with two measurement moments three months apart. Hypotheses were tested using cross-lagged regression analyses and path modeling.

Supporting the hypotheses, approach crafting related positively to an increase in turnover intentions only among employees with high need for challenge or high self-esteem. Moreover, via turnover intentions at Time 1, approach crafting related positively to the voluntary job change at Time 2 for employees with (a) high need for challenge, as well as those with (b) high self-esteem. These findings held after controlling for avoidance crafting.

This study has been conducted in a relatively homogenous sample. Future research may test the predictions in a more heterogeneous sample, including participants from different cultural and economic contexts.

The authors advise human resource (HR) professionals to facilitate the job crafting efforts of employees with a high need for challenge and those with high self-esteem because these groups are particularly at risk of voluntarily quitting their jobs. Adopting insights from the wise proactivity model may help ensure that job crafting benefits both employees and employers.

This study brings clarity to the inconsistent relationships between job crafting and job quitting by using the wise proactivity model as an explanatory framework.

This study aims to investigate whether frontline retail banking employees’ proactive personality helps in ameliorating customer engagement. This study further aims to investigate the mediational role of work engagement and service recovery performance in the employee proactivity – customer engagement relationship.

This study used a triadic approach for the collection of primary data. Each triad consisted of a customer, a frontline employee and an immediate colleague of the frontline employee. Structured questionnaires were used to solicit data from the respondents. Specifically, customers were asked to report their level of engagement with the bank and the recovery performance of the employee who redressed their grievances. Frontline employees responded to their level of work engagement while their colleagues reported about the proactive disposition of frontline employees at the workplace.

Empirical findings revealed under service scenario, Indian retail banking employees’ proactive disposition nurtures customer engagement. It was further observed that this relationship is sequentially mediated by work engagement and service recovery performance.

The role of frontline employees in enriching customer engagement has to date remained under-researched among marketing scholars. To the best of the authors’ knowledge, this study is the maiden attempt to relate frontline employee proactivity with customer engagement. Also, this study is one of the early research to investigate customer engagement under a service recovery context, thereby, opening pathways for further exploration.

This study aims to explore South Korean firms’ reactions to climate change issues and the Korean emissions trading scheme (ETS) from the perspective of proactive climate-entrepreneurship. Differences in attitude toward the Korean ETS, implementation of carbon management practices and performance regarding operations, market and emission reductions are also investigated.

A research model was developed to investigate the differences in corporate perception of climate change. Using a cluster analysis and analysis of variance with 94 South Korean companies subject to the Korean ETS, the study identified carbon strategies and examined differences in characteristics among the strategies. This study undertook a robustness test by comparing the results from a large sample (n = 261) with those of the original sample (n = 94).

The study identifies four different carbon strategies based on climate-entrepreneurial proactivity: the “explorer,” “hesitator,” “attempter” and “laggard.” The “explorer” cluster is likely to have a proactive stance toward the Korean ETS regulation, while the “laggard” cluster shows resistance to this new climate policy. Entrepreneurial proactivity in carbon strategies is related to the actual adoption, implementation and effectiveness of carbon management practices.

This research is one of the few studies to explore differences in corporate response to climate change from the perspective of entrepreneurship. The study provides a theoretical foundation for extending the literature on the strategic management of climate change issues.

The purpose of this study is to investigate the perceived effects between soft management practices, employee behaviours and the implementation of digital technologies in manufacturing plants, as well as how these relate to the emergence of digital waste.

This paper uses case-based research. Data was collected in two large manufacturing companies based in Norway and Sweden through semi-structured interviews with two management representatives and four shop-floor employees. The data was used to evaluate 29 variables describing lean- and total quality management (TQM)-associated employee behaviours and soft management practices, in light of digital transformation.

The results suggest that several variables were positively influenced by the digital transformation process. These were top management leadership, middle management involvement, employee education, corporate social responsibility focus, innovation, knowledge sharing, work-family balance, psychological capital, job satisfaction and career commitment. Training employees, creativity, discretionary effort, turnover intention and proactivity appear to be negatively influenced by digital transformation The findings also indicate that several soft management practices and employee behaviours were not only influenced by manufacturing digitalization but also themselves influenced the process. The potential for digital waste creation was also detected in several variables, including reward and recognition and training employees.

Managers, practitioners and academics may learn about the importance of certain managerial practices and employees’ behavioural needs during the digital transformation process. The findings may help in prioritizing TQM and soft lean management practices and certain employee behaviours during the digital transformation and in creating awareness of digital waste.

This study builds on several existing studies discussing the impact of digital transformation on soft management practices and employee behaviours. It provides insights from a lean and TQM angle and offers a means of prioritizing certain practices and behaviours during a digital transformation. This study also highlights the significance of digital waste.

This study comprehensively depicts the state of the art on sustainability research in the meat supply chain to advance the debate on challenges and issues associated with developing sustainable supply chain management practices.

The authors conducted a systematic literature review of 333 articles published in peer-reviewed journals and organized the extant literature into five areas of supply chain management practices: strategic orientation, continuity, collaboration, risk management, and proactivity.

Since 2016, the meat supply chain has received increasing scholarly attention. The literature shows the diffusion of highly heterogeneous sustainability practices related to multiple management areas and levels of analysis (institutional, industry, firm). The need for integrated, multilevel initiatives involving different stakeholders becomes increasingly crucial to the transition towards more sustainable meat supply chains.

This study highlights the importance of regulatory and stakeholder pressures in the sustainability transition. Beyond setting regulatory requirements, policymakers may facilitate the establishment of collaborations within the meat supply chain and foster the development of support services that help firms to integrate sustainability in their business models. The review also alerts entrepreneurs and managers to the benefits from cooperating with their supply chain partners to navigate the industry transition and thus more effectively respond to the demands of stakeholders and to the increasing customers’ awareness of sustainability issues.

This study is the first to systematize the corpus of knowledge on the sustainability of the meat supply chain by adopting a comprehensive approach to analyze relevant management and agriculture literature.

The purpose of this paper is to analyze whether and how employees’ proactive personality is related to work engagement. Drawing on job demands-resources theory, the study proposes that this relationship is moderated by a three-way interaction between proactive personality × transformational leadership × growth mindset.

The study is based on survey data from 259 employees of an internationally operating high-tech organization in the Netherlands.

In line with prior studies, support is found for positive significant relationships of proactive personality and transformational leadership with engagement. Additionally, transformational leadership is found to moderate the relationship between proactive personality and work engagement, but only when employees have a growth mindset.

The study advances the literature that investigates the proactive personality-engagement relationship. Specifically, this study is the first to examine a possible three-way interaction that may deepen the insights for how proactive personality, transformational leadership and growth mindset interact in their contribution to work engagement.

The purpose of this paper is to improve the tactical planning of the stakeholders of the midstream liquefied natural gas (LNG) supply chain, using an optimisation approach. The results can contribute to enhance the proactivity on significant investment decisions.

A decision support tool (DST) is proposed to minimise the operational cost of a fleet of vessels. Mixed integer linear programming (MILP) used to perform contract assignment combined with a genetic algorithm solution are the foundations of the DST. The aforementioned methods present a formulation of the maritime transportation problem from the scope of tramp shipping companies.

The validation of the DST through a realistic case study illustrates its potential in generating quantitative data about the cost of the midstream LNG supply chain and the annual operations schedule for a fleet of LNG vessels.

The LNG transportation scenarios included assumptions, which were required for resource reasons, such as omission of stochasticity. Notwithstanding the assumptions made, it is to the authors’ belief that the paper meets its objectives as described above.

Potential practitioners may exploit the results to make informed decisions on the operation of LNG vessels, charter rate quotes and/or redeployment of existing fleet.

The research has a novel approach as it combines the creation of practical management tool, with a comprehensive mathematical modelling, for the midstream LNG supply chain. Quantifying future fleet costs is an alternative approach, which may improve the planning procedure of a tramp shipping company.