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This study empirically and theoretically aims to explore the consequences of top management’s dark personality traits (DPT) on organizational injustice, e.g. organizational procedural justice (OPJ), organizational interactional justice (OIJ) and organizational distributive justice (ODJ) and counterproductive work behavior (CWB).

A study was conducted to examine the influence of DPT on CWB among the contractual employees of the land revenue department, Pakistan. The quantitative method was employed using a convenient sampling approach. A designed survey questionnaire was distributed among 1,240 land revenue officials in 13 districts of Pakistan.

The results supported that dark DPT directly, significantly and positively affects CWB. In addition, DPT, except for psychopathy (PSY), significantly and negatively affects OPJ, OIJ and ODJ. Meanwhile, OIJ and OPJ strengthen the negative relationship between CWB and Machiavellianism and narcissism (NAR); however, PSY failed directly to affect OPJ, OIP and ODJ indirectly failed to capture CWB.

Top management/government should pay attention to fair dealings among the contractual employees. Consequently, they would prefer to do well in the workplace. Particularly, top management should avoid practicing DPT, which has ultimate results in CWB.

Public managers should avoid DPT because they are not compatible with public needs. Managers with DPT negatively affect their employees' productivity behaviors. Therefore, managers should focus on positive personality traits to enhance employees' productivity via organizational justice.

This study is unique in the land revenue department of Pakistan, where unfair dealings are being practiced among contractual employees. Surprisingly, CWB is the ultimate consequence of both DPT and top management's dishonest dealings (e.g. organizational injustices).

This paper aims to discuss the suitability of topic modeling as a review method, identifies and compares the machine learning (ML) research trends in five primary business organization verticals.

This study presents a review framework of published research about adopting ML techniques in a business organization context. It identifies research trends and issues using topic modeling through the Latent Dirichlet allocation technique in conjunction with other text analysis techniques in five primary business verticals – human resources (HR), marketing, operations, strategy and finance.

The results identify that the ML adoption is maximum in the marketing domain and minimum in the HR domain. The operations domain witnesses the application of ML to the maximum number of distinct research areas. The results also help to identify the potential areas of ML applications in future.

This paper contributes to the existing literature by finding trends of ML applications in the business domain through the review of published research. Although there is a growth of research publications in ML in the business domain, literature review papers are scarce. Therefore, the endeavor of this study is to do a thorough review of the current status of ML applications in business by analyzing research articles published in the past ten years in various journals.

It is essential to validate whether a nation's economic strength always transpires into new business capacity. The present research strives to identify the key indicators to the proxy new business ecosystem of countries and critically evaluate the similarity through the lens of advanced Fuzzy Clustering Frameworks over the years.

The authors use Fuzzy C Means, Type 2 Fuzzy C Means, Fuzzy Possibilistic C Means and Fuzzy Possibilistic Product Partition C Means Clustering algorithm to discover the inherent groupings of the considered countries in terms of intricate patterns of geospatial new business capacity during 2015–2018. Additionally, the authors propose a Particle Swarm Optimization driven Gradient Boosting Regression methodology to measure the influence of the underlying indicators for the overall surge in new business.

The Fuzzy Clustering frameworks suggest the existence of two clusters of nations across the years. Several developing countries have emerged to cater praiseworthy state of the new business ecosystem. The ease of running a business has appeared to be the most influential feature that governs the overall New Business Density.

It is of paramount practical importance to conduct a periodic review of nations' overall new business ecosystem to draw action plans to emphasize and augment the key enablers linked to new business growth. Countries found to lack new business capacity despite enjoying adequate economic strength can focus effectively on weaker dimensions.

The research proposes a robust systematic framework for new business capacity across different economies, indicating that economic strength does not necessarily transpire to equivalent new business capacity.

This study aims to offer a research overview of circular food waste management, covering key themes and trends. It analyses state-of-the-art research in this field and proposes an agenda to guide future research.

This study outlines bibliometric analysis from a sample of 349 articles with VOSviewer and SciMat software to identify research trend topics.

The findings reveal a substantial amount of interest in this field. The main research topics relate to the recovery processes and valorisation of food waste and its conversion into renewable and cleaner materials or energy sources, towards circularity. However, these processes require consideration of social aspects that facilitate their implementation, which are currently under-researched.

Companies can target their circular food waste management by considering three key aspects. Firstly, the establishment of closer and more sustainable relationships with various stakeholders; Secondly, a regulatory framework and the support of institutions are both required for the correct implementation of circularity. Finally, what is not measured does not exist. It is therefore necessary to establish indicators to measure both the level of development of circularity in waste management and the fulfilment of the established objective.

This bibliometric analysis looks at the application of circularity principles in food waste management from a holistic perspective, considering different areas of knowledge.

The study aims to examine the effects of proactive vs passive environmental corporate social responsibility (CSR) in the context of small and medium size enterprises (SMEs), factoring in the moderating effects of price and the mediating effects of company–consumer identification(C-C identification) on consumer responses.

An experiment with general consumer samples was conducted. A randomized 2 (CSR levels: proactive CSR vs passive CSR) × 2 (price as a CSR trade-off: higher price vs lower price) full factorial design was used.

The study findings revealed that proactive environmental CSR not only engendered more positive C-C identification but also resulted in more favorable consumer attitudes, stronger supportive communication intent and purchase intent. In addition, when a company demonstrates proactive CSR, consumers' C-C identification is generally positive irrespective of price differences, and in turn, more positive reactions follow. When a company takes a passive approach and offers lower prices, respondents showed significantly less positive C-C identification, and less favorable responses. This indicates that passive environmental CSR programs can potentially backfire, especially when combined with lower prices. This study also shows the important mediating impact of C-C identification on consumer responses.

This study is one of the few to explore consumer perceptions of and reactions toward the food industry's environmental CSR programs by degree of CSR involvement and price differences in the context of SMEs. This study's findings provide useful information to SME managers and public relations practitioners who work closely with SMEs, allowing them to make informed strategic decisions, especially when they evaluate the extent of their company's commitment to environmentally proactive CSR practices and its communication to consumers.