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The purpose of this paper is an examination of the literature on team boundary activity to trace how team boundary activity has evolved as a construct and examine the dimensions of team boundary activity and their relationships. It highlights the need for a deeper examination of the dimensions of buffering and reinforcement, and why buffering and reinforcement are required. It presents the case of why it is important to study this topic and maps out areas for future research.

The paper reviews conceptual and empirical papers published on team boundary activity in reputed journals between the years 1984 and 2016.

The focus of research in team boundary activity has been on external interactions of the team (boundary spanning), and very few papers have studied the activities through which the team defines and defends its borders (boundary strengthening). These boundary-strengthening activities can be equally important for innovation and learning in externally dependent teams. Further, there is a need to clearly distinguish these constructs from other variables like team identification. Another area that has here-to not been researched is the relationships between the dimensions of team boundary activity. Last, there is a need to consider a wider range of antecedents, outcomes and moderators of team boundary activity.

This paper is based on past empirical and conceptual papers, identified using search terms such as team boundary activity, team boundary spanning and external communication. Other related areas can also be explored for identifying variables of interest.

As opposed to previous reviews which focused mainly on team boundary spanning, this paper considers all dimensions of team boundary activity, with special focus on buffering and reinforcement. It proposes a 2 × 2 framework to explain the effect of boundary-spanning and boundary-strengthening activities on the achievement of team objectives. It examines the cyclical nature of relationship between team boundary activity and team performance. It highlights measurement issues in the area of team boundary activity.

Based on the interpersonal interaction perspective of team cohesion, this study aims to examine the effects of team boundedness, formal coordination and organization tenure diversity on both task and social cohesion. The authors test for the interaction effect of organization tenure diversity on the relationships between the independent variables and the dimensions of team cohesion.

Data was collected from 111 software development teams and aggregated to the team level. Common latent factor test for common method bias showed no significant bias. Structural equation modelling (SEM) was used to test all the hypotheses.

SEM results show that team boundedness and formal coordination have positive and significant association with both dimensions of team cohesion. Formal coordination was found to be a stronger positive predictor for task cohesion than for social cohesion. Organization tenure diversity was found to be a stronger negative predictor for social cohesion than for task cohesion. Organization tenure diversity in the team moderates the relationship between formal coordination and task cohesion.

The data was collected using a cross-sectional design. However, the authors have mitigated the effect of common method variance by adopting both procedural and statistical methods.

This paper expands extant literature by examining the antecedents of two important components of team cohesion, task and social cohesion. The authors proposed and found that the independent variables have different impacts on task and social cohesion. This study furthers both theory and practice by considering team boundedness as a variable of interest and its impact on internal team dynamics.

This study aims to examine the effect of strategic human resource management (SHRM) practices on two learning outcomes, learning orientation and learning competence, which past research has seldom examined in the UAE context. SHRM practices consisted of four factors, namely, talent acquisition, learning and development, performance appraisal and developmental pay.

Primary data was collected from 285 employees from retail outlets operating in Dubai. Partial least squares regression analysis using the tool, SmartPLS, was used to empirically validate the measurement model and test the structural model.

Findings reveal that SHRM practices talent acquisition, learning and development and developmental pay have a positive association with learning orientation, and learning and development and performance appraisal have a positive association with learning competence of employees. The path coefficient and total effects signify that learning orientation acts as a conduit to pass on the effect of the SHRM practices to learning competence.

The sample considered for the study was from the retail industry. Furthermore, to generalize the findings of this research, cross-national studies should be conducted across various sectors and organizations.

To the best of the authors’ knowledge, this research study is the first of its kind in retail firms in Dubai (UAE) to empirically test the association of SHRM practices with learning outcomes. Retail outlets can implement SHRM practices to improve learning orientation and learning competence in a highly dynamic operating environment such as retail industry.

This paper aims to organize the existing empirical research on women entrepreneurs (WEs) in India, highlight the research areas that have not received attention and present opportunities for future research.

A systematic literature review (SLR) was performed on 74 scholarly articles focusing on WEs in India and published between 1993 and 2020. This review is structured around the 4W framework used in previous SLRs. The review is directed by the following foci: what do we know about academic research on WEs in India? How were these studies conducted? Where were these studies conducted? Why should academicians and practitioners consider WE research?

The authors arrived at four main themes underlying the empirical research on WEs: success factors for WEs, challenges faced by WEs, factors that attract and motivate WEs and performance measures for WEs. While challenges and success factors have received attention from researchers, there is a distinct lack of papers on factors that attract or motivate WE and performance measures. The main gaps identified were a lack of theoretical basis in studies, reliance on interview and survey-based methodology and a lack of context-specific studies.

The findings of this review are limited to WEs operating in India. Only Scopus-indexed journals listed in the Australian Business Dean's Council Journal Quality List (ABDC JQL) were included in the final SLR list.

This is one of the first studies to use a systematic approach to provide a detailed account of the state of the literature on women's entrepreneurship research in India.

Remote work (RW) literature is a megatrend in HRM literature, and the COVID-19 pandemic has highlighted the importance of RW as a concept and an organisational practice. Given the large number of papers being published on remote work, there is a need for a critical review of the extant literature using bibliometric analysis. This paper examines the literature on remote working to identify the factors crucial for managing a remote workforce. This study uses the complex adaptive systems theory as a foundation to build a framework that organisations can use to manage their remote workforce, focusing on three outcomes: employee engagement, collaboration and organisational agility.

Bibliometric analysis was conducted on the research published in Scopus journal in the area of remote work, followed by critical literature analysis.

The bibliometric analysis identified five clusters that reflect five organisational factors which the management can align to achieve the desired outcomes of engagement, collaboration and agility: technology orientation, leadership, HRM practices, external processes and organisational culture. The present findings have important implications for managing the remote workforce.

The five factors were mapped to propose a conceptual model on engaging individual employees, fostering team collaboration and building organisational agility while working remotely. We also propose an application model for using technology to achieve the outcomes of engagement, collaboration and agility in the organisation. Practitioners could use this framework to focus on the factors that can create a conducive environment to improve work efficiency in a remote workforce.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

A study of 285 employees in Dubai’s retail sector has shown how SHRM practices – talent acquisition, learning and development, and developmental pay - have a positive association with learning orientation. Meanwhile, the study also revealed that learning and development, and performance appraisal have a positive association with employees’ learning competence.

The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

The purpose of this paper is to understand the critical factors associated with growing fertilizer usage culminating in contamination of soil/water in agriculturally intensive regions of Uttar Pradesh, India. The agriculture sector is seen as one of the major contributors in ensuring food security, however adoption of sustainable agriculture to protect water resources from contamination due to fertilizers and pesticides is becoming pressing to achieve long term environmental security.

A two staged study aimed at monitoring the soil quality status followed by stakeholder survey has been attempted. Attitude-behavior framework based on the theory of reasoned action has been tried to explain the fertilizer use behavior in the study. The results are analyzed through Analysis of variance.

Soil monitoring data showed nitrate and total nitrogen loadings beyond the permissible limit in the identified regions. A questionnaire aimed at determining farmer’s attitude toward fertilizer usage showed a significant influence of factors like net farm income, overall farm yield, extension services, farmer characteristics on one hand and risks associated with changing farming practices, costs of substitutes available, market-based instruments like subsidies and loans on the other. Divergent responses were observed with respect to farmer’s perceived risks from adopting to organic substitutes, linkages of fertilizer application with environmental degradation and the level of adoption of sustainable agricultural practices.

The study can be scaled up to study the inter-regional differences by benchmarking regional responses. It would be interesting to extend the work to find solutions from the farmers as alternative fertility management strategies. The items used in questionnaire are self-made; hence there is still a possibility of enhancing the robustness of scale by applying advanced statistical techniques.

Results of the study indicate excessive nitrogen loadings in farm soils which is an indicator of potential future nitrate contaminated zones or vulnerable zones emerging in agricultural intensive regions. Findings reinforce the role of education, knowledge transfer and awareness for long-term agricultural sustainability. The paper highlights the urgency for reorientation of the support system by the government and policymakers.

The paper attempts to understand the linkage between the agricultural productivity and the environmental implications followed by the reasons culminating in the agri-environmental imbalance. On-site monitoring study followed by assessment of reasons culminating in this scenario has not been attempted earlier and this paper contributes to understanding at dual level. This paper emphasizes on the insights of stakeholder which is instrumental in ensuring agricultural sustainability or otherwise. It takes the position that the farmer’s farm management behavior is strongly influenced by factors like food security and income, keeping environmental quality at second place. It also identifies the barriers for organic farming and other alternative systems as well as explores the economic, social, and philosophical aspects of sustainable agriculture.

This study aims to investigate the factors that influence South African customers to potentially switch from one bank to another. Instead of using established models and survey techniques, the research measured social media sentiment to measure threats to switch.

The research involved a 12-month analysis of social media sentiment, specifically customer threats to switch banks (churn). These threats were then analysed for co-occurring themes to provide data on the reasons customers were making these threats. The study used over 1.7 million social media posts and focused on all five major South African retail banks (essentially the entire sector).

This study concluded that seven factors are most significant in understanding the underlying causes of churn. These are turnaround time, accusations of unethical behaviour, billing or payments, telephonic interactions, branches or stores, fraud or scams and unresponsiveness.

This study is unique in its measurement of unsolicited social media sentiment as opposed to most churn-related research that uses survey- or customer-data-based methods. In addition, this study observed the sentiment of customers from all major retail banks across 12 months. To date, no studies on retail bank churn theory have provided such an extensive perspective. The findings contribute to Susan Keaveney’s churn theory and provide a new measurement of switching threat through social media sentiment analysis.

The purpose of this paper is to develop a methodology for knowledge discovery in emergency response service databases based on police occurrence reports, generating information to help law enforcement agencies plan actions to investigate and combat criminal activities.

The developed model employs a methodology for knowledge discovery involving text mining techniques and uses latent Dirichlet allocation (LDA) with collapsed Gibbs sampling to obtain topics related to crime.

The method used in this study enabled identification of the most common crimes that occurred in the period from 1 January to 31 December of 2016. An analysis of the identified topics reaffirmed that crimes do not occur in a linear manner in a given locality. In this study, 40 per cent of the crimes identified in integrated public safety area 5, or AISP 5 (the historic centre of the city of RJ), had no correlation with AISP 19 (Copacabana – RJ), and 33 per cent of the crimes in AISP 19 were not identified in AISP 5.

The collected data represent the social dynamics of neighbourhoods in the central and southern zones of the city of Rio de Janeiro during the specific period from January 2013 to December 2016. This limitation implies that the results cannot be generalised to areas with different characteristics.

The developed methodology contributes in a complementary manner to the identification of criminal practices and their characteristics based on police occurrence reports stored in emergency response databases. The generated knowledge enables law enforcement experts to assess, reformulate and construct differentiated strategies for combating crimes in a given locality.

The production of knowledge from the emergency service database contributes to the government integrating information with other databases, thus enabling the improvement of strategies to combat local crime. The proposed model contributes to research on big data, on the innovation aspect and on decision support, for it breaks with a paradigm of analysis of criminal information.

The originality of the study lies in the integration of text mining techniques and LDA to detect crimes in a given locality on the basis of the criminal occurrence reports stored in emergency response service databases.

The purpose of this paper is to develop a method for the discovery of knowledge in emergency response databases based on police incident reports, generating information that identifies local criminal demands that allow the selection of the appropriate policing strategies portfolio to solve the problem.

The developed model uses a methodology for the discovery of knowledge involving text mining techniques using Latent Dirichlet Allocation (LDA) integrated with the ELECTRE I multicriteria method.

The developed method allowed the identification of the most common criminal demands that occurred from January 1 to December 31, 2016, in the policing areas studied. One of the crimes does not occur homogeneously in a particular locality. In this study, it was initially observed that 40 per cent of the crimes identified in the Integrated Public Safety Area 5, or AISP-5, (historical city center of RJ) had no correlation with AISP-19 (Copacabana - RJ), and 33 per cent of crimes crimes in AISP-19 were not identified in AISP-5. This finding guided the second part of the method that sought to identify which portfolio of policing strategies would be most appropriate for the identified demands. In this sense, using the ELECTRE I method, eight different scenarios were constructed where it can be identified that for each specific criminal demand set there is a set of policing strategies to be applied.

The collected data represent the social dynamics of neighbourhoods in the central and southern zones of the city of Rio de Janeiro during the specific period from January 2013 to December 2016. This limitation implies that the results cannot be generalised to areas with different characteristics.

The developed methodology contributes in a complementary way to the identification of criminal practices and their characteristics based on reports of police occurrences stored in emergency response databases. The knowledge generated through the identification of criminal demands allows law enforcement decision makers to evaluate and choose among the available policing strategies, which best suit the reality they study, and produce the reduction of criminal indices.

It is possible to infer that by choosing appropriate strategies to combat local crime, the proposed model will increase the population’s sense of safety through an effective reduction in crime.

The originality of the study lies in the integration of text mining techniques, LDA and the ELECTRE I method for detecting crime in a given location based on crime reports stored in emergency response databases, enabling identification and choice, from customized policing strategies to particular criminal demands.