Search results

This paper aims to address the question of whether acquiring firm directors trading, prior to a merger or acquisition (M&A) announcement, predicts the share market reaction on M&A announcement.

Event studies and cross-section regression were used in this analysis.

This paper finds that acquiring firms with no director trading and firms with net director purchases in the 12 months prior to the M&A announcement earn positive abnormal returns. It is also found that share market reaction to M&A announcements is considerably larger for acquiring firms whose directors do not trade relative to those companies with directors who do trade over the prior 12 months. This director non-trading result is further born out in regression analysis.

The absence of pre-M&A announcement director trading could reflect lower agency costs for the acquiring firm and this might explain to stronger announcement day effect for this group of firms.

The fact that directors choose not to trade in their shares prior to a M&A transaction appears to be viewed as good news by the market.

Director trading is value relevant for the acquiring firm and so it is critical that director trading is transparent.

To the best of the authors' knowledge, this question has not been addressed in the literature before, particularly the finding for firms with no director trading in the period prior to the M&A announcement.

This study aims to build the intellectual structure of knowledge sharing (KS) research by objectively and systematically capturing and sketching the content of research papers published in the KS research area.

This study uses a systematic literature review for data collection, and content analysis and bibliometric techniques of citation and co-citation analysis for data analyses and interpretation.

Based on the study, the intellectual structure of KS research consisting of five themes has emerged. The five themes identified are: models, frameworks and understanding for KS, the behaviour-oriented perspective of KS, technology-oriented perspective of KS, KS barriers and KS and firm’s performance.

This study has used published literature extracted from selected journals using the web of science database. More journals and databases may be included in future studies.

This study will give future researchers a comprehensive understanding of KS discipline and serve as a quick reference and resource for those interested in KS research. It identifies major areas of KS for the practitioners to enable them to focus and apply various organizational interventions to derive a competitive advantage. The identified themes in the intellectual structure of KS will also provide a holistic view and give multiple perspectives to practitioners so that they can better manage KS in their organizations.

This is among early studies aiming to extract the intellectual structure of KS in the broad area of knowledge management research.

OGQ was founded by Geet Sethi and Prakash Padukone with the mission to support potential Olympic medal winners, in achieving their dream, with the help of all the stakeholders; and the vision to scout for potential talent and identify their needs. It had eminent personalities from sports who understood the problems with Indian sports and from industry who had a passion for sports and supported it. OGQ supported its athletes for the 2012 London Olympics through voluntary contributions and its athletes won four medals. For the 2016 Olympics, OGQ had a target of eight Olympic medals and was scaling up its support to athletes. Viren Rasquinha, the CEO of OGQ, knew that he had to focus on getting more contributions as he needed more resources to support the athletes. For this OGQ needed to review its communication strategy to the current and potential donors.

A literature review revealed that in recent times, many companies have attempted organization‐wide change management through the philosophy and principles of Lean Thinking (LT). Although some organizations have transformed and reaped significant benefits in this endeavour, many organizations have failed in this attempt. One of the reasons can be attributed to the fact that not many organizations are attempting to “assess the organizational readiness” before implementing/adapting LT. This paper aims to address this issue.

Hence in this paper, an attempt has made to address this problem by presenting a hypothetical case study of an Indian organization to comprehensively assess organizational readiness of the case organisation using a graph theoretic approach (GTA), which has the ability to integrate and model multiple inter‐related factors.

From the obtained results, it was found that the case organization is not fully ready to embrace LT. It needs to work on different factors under the categories of suppliers, customers, etc. in addition to employees, organisation and top management for smooth and successful adaptation.

According to the authors' knowledge, no paper exists either in the literature of organizational analysis or in the field of LT literature that demonstrates the application of GTA, specifically for assessing the readiness of an organization in adapting LT. Furthermore, various factors which need to be considered were identified apart from modelling them by incorporating the relationship/dependency that exists between these factors, which is unique.

The purpose of this study is to explore how social entrepreneurship empowers women and how it influences the existing gender based intersectionalities in the society. This paper is based on a single case study of a social entrepreneurial startup called “Pahal,” which used social entrepreneurial strategies to encourage women to engage in economic activities, which helped them in gaining economic empowerment.

The researcher alongside the social entrepreneur visited the field for eight months from August 2016 to March 2017 and interviewed multiple stakeholder-employees (as partners) of the social enterprise. This study was done by conducting interviews with all the stakeholders in all the three social entrepreneurial phases, i.e. pre-Pahal, during-Pahal and after-Pahal. The interviews and observations were recorded and analysed using social entrepreneurial lens and intersectionality.

“Pahal Initiative” – is a social entrepreneurial intervention that helped the women in the household to start a food delivery business with the support of the social entrepreneur. Consequently, women gained confidence and self-respect. The attitude of men in the household changed when the women in the household generated additional income. It impacted their position and status which led to an increase in their participation in decision-making in the household and economic independence. The women become more interactive and expressive in a predominantly patriarchal household. Within one year, the entrepreneur had to stop the Pahal initiative. Then, this study observed and recorded that this event curtailed the economic activities undertaken by the women in their village and their social status reverted to what it was before the initiative.

First, social entrepreneurial strategies lead to economic value creation and lead overall socio-economic gains. Second, social entrepreneurial strategies address the problems of patriarchy and gender discrimination. Third, economic activities undertaken by women changed the social perceptions of the family members towards women in the families.

From this case study, one observes that social entrepreneurship has a strong potential to bring about social and economic change. This study helps policymakers and non-governmental organisations to solve poverty and gender discrimination related problems using social entrepreneurial strategies.

This study uses social entrepreneurial intervention to understand and bring about change in the socio-economic status of women in rural India. This study uses an intersectionality lens to make sense of the data, reality and reflects on how intersectional positions are altered when women are economically empowered either through training or through a proper organisation or both.

The downstream oil marketing companies (OMCs) have an opportunity to compensate their huge under-recovery by increasing non-fuel revenues through strategic planning for collaboration with organized companies (OCs) of auto-servicing sector, who are experiencing a surge in the demand for auto-servicing. The purpose of this paper is to explore the business need for strategic collaboration and empirically validate the building mechanism for collaborative capacities between the two sectors (OMCs and OCs).

The paper is designed to explore the implementation of collaboration using needs analysis, exploratory factor analysis and structural equation modelling process for building collaborative capacities between the two sectors.

Although alignment is a necessary condition before allowing for a valid collaboration between the two sectors, the external alignment process is highly significant for implementing collaboration unlike the internal alignment process.

Methodological limitations include the use of convenience sampling and anonymous survey-based research.

Selecting the “right” identified factors for collaboration is unquestionably one of the most important topics in the collaboration literature, which holds vast practical implications.

This study provides practical and theoretical insights for implementing collaboration based on empirical results.

Organisations and industries are often looking for technologies that can accomplish multiple tasks, providing economic benefits and an edge over their competitors. In this context, drones have the potential to change many industries by making operations more efficient, safer and more economic. Therefore, this study investigates the use of drones as the next step in smart/digital warehouse management to determine their socio-economic benefits.

The study identifies various enablers impacting drone applications to improve inventory management, intra-logistics, inspections and surveillance in smart warehouses through a literature review, a test of concordance and the fuzzy Delphi method. Further, the graph theory matrix approach (GTMA) method was applied to ranking the enablers of drone application in smart/digital warehouses. In the subsequent phase, researchers investigated the relation between the drone application's performance and the enablers of drone adoption using logistic regression analysis under the TOE framework.

This study identifies inventory man agement, intra-logistics, inspections and surveillance are three major applications of drones in the smart warehousing. Further, nine enablers are identified for the adoption of drone in warehouse management. The findings suggest that operational effectiveness, compatibility of drone integration and quality/value offered are the most impactful enablers of drone adoption in warehouses. The logistic regression findings are useful for warehouse managers who are planning to adopt drones in a warehouse for efficient operations.

This study identifies the enablers of drone adoption in the smart and digital warehouse through the literature review and fuzzy Delphi. Therefore, some enablers may be overlooked during the identification process. In addition to this, the analysis is based on the opinion of the expert which might be influenced by their field of expertise.

By considering technology-organisation-environment (TOE) framework warehousing companies identify the opportunities and challenges associated with using drones in a smart warehouse and develop strategies to integrate drones into their operations effectively.

This study proposes a TOE-based framework for the adoption of drones in warehouse management to improve the three prominent warehouse functions inventory management, intra-logistics, inspections and surveillance using the mixed-method.

Examines the ninth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

Looks at the eighth published year of the ITCRR and the research, from far and near, involved in this. Muses on the fact that, though all the usual processes are to the fore, the downside part of the industry is garment making which is the least developed side. Posits that the manufacture of clothing needs to become more technologically advanced as does retailing. Closes by emphasising support for the community in all its efforts.

This paper discusses the applications of virtual reality (VR) in the field of sales training and highlights the implications for practice by building on cutting-edge research and case studies.

This paper is prepared on the basis of the review of recent developments in research and practice related to VR.

VR hardware, content, and applications are being designed to be more realistic and immersive, which may lead to higher visibility and popularity. VR training mimics real jobs, and with immersive experience, trainees do better at their actual jobs. The use of VR is training, transforming, and making it more dynamic, immersive, engaging, affordable, and remotely accessible.

The paper provides condensed insights about the applications and developments of VR in the field of sales training.

The paper saves hours of reading time for busy executives and researchers by selecting and presenting the most relevant and valuable information in a summarized and crisp format.