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This compact case provides a relatively large data set that students explore using visualization and a Tableau dynamic dashboard that they create. Students were asked to describe what the data set contained in relation to employee attrition experience of Baca Beverage Distributors (BBD). The application and managerial questions are set in human resources and a company that is facing high attrition during the pandemic.

BBD shared their data and problem scenario for this compact case. The protagonist, Morgan Matthews, was the authors’ contact and provided significant clarification and guidance about the data. Both the company and the protagonist have been disguised. Some of the job positions have been rephrased. All names of employees, supervisors and managers have been replaced with codes.

During the 2020–2022 pandemic years, BBD experienced, like many companies, a higher than usual employee turnover rate and Morgan Matthews, Director of People, was concerned. Not only was it time-consuming, expensive and disruptive but the company had prided itself on being a good place to work. Were they hiring the right people, people that fit the company culture and people that fit the positions for which they were hired? The company had been using the Predictive Index [1] when on-boarding employees. In addition, there were results from self-reviews and manager reviews that could be used. Morgan wondered if data visualization and visual analytics would be useful in describing their employees and whether it would reveal any opportunities to improve the turnover rate. Before seeking a solution for the high turnover, it was important to step back and learn what the data said about who was leaving and the reasons they gave for leaving.

This compact case can be used in courses that include visualization using Tableau and dashboards. As it is a compact case, it requires less preparation time from the students and less class time for discussion. The case is for students who have been recently introduced to business analytics, specifically visualization and data storytelling with Tableau. For this reason, significant guidance has been provided in the case assignment. The level of the case can be adjusted by the amount of guidance provided in the case assignment. Courses include introduction to business analytics, descriptive analytics and visualization, communication through data storytelling. The case can be used for all modalities – in person, hybrid, online. The authors use it here for visualization and dynamic dashboards but using the same data set and compact case description, exploratory data analysis could be assigned.

Supplementary material for this article can be found online.

The purpose of this paper is to build a model of mergers and acquisitions (M&A) performance drawing from the concept of organizational identity theory. The paper proposes that successful performance of an M&A is dependent upon two things, namely, the alignment of the organizational identities of the two merging firms and the method used to integrate them.

This is a conceptual paper based on current research and uses multiple real-world examples of M&A to elaborate the proposed model and highlight scholarly and practical implications.

The paper explains that the similarity of the identities of the merging organizations has a significant impact on the performance of the combined entity. Furthermore, the integration method used by the merged firms influences the success of the merged entity. The use of an identity approach helps unravel new variables impacting M&A performance.

A limitation of the paper is that it does not address how, over time, identity management can overcome the resistance of two merging entities. In addition to testing the proposed relationships, further research can explore these identity dynamics in unraveling an M&A performance.

This paper highlights the importance of evaluating identity as an element of an M&A due diligence. Practitioners should be aware of the dangers of signaling one identity integration strategy but using contradictory actions in implementation.

Given the importance of identity in a variety of organizational outcomes, the paper is timely in integrating the organizational identity (OI) concepts in understanding M&A performance issues.

Given the importance of identity in a variety of organizational outcomes, the paper is timely in integrating the OI concepts in understanding M&A performance issues.

Purpose – This study examines both the short- and long-term share price reaction to announcements of financial restatements cited in the U.S. General Accounting Office (2006) database.

Methodology – It uses the augmented four-factor Fama-French model for assessing share price reaction.

Findings – The study finds that the average cumulative abnormal return (CAR) for a sample of 553 restatements (by 437 companies) is significantly negative (−1.58) for the three-day window surrounding the day of announcement. The average CAR for the one-year period prior to the announcement (−9.6%) and for each of the four years after the announcement is negative as well, with the average CAR for the four years adding up to −22%. The study also documents differences in CARs based on the entity prompting the restatement (company, auditor, and Securities and Exchange Commission), the reason behind the restatement (revenue, cost, reclassification of item, etc.), and for one-time versus repeat offenders.

Social implications – Taken together, the findings indicate that financial restatements impose significant short-term as well as long-term costs on shareholders.

Originality/Value – The evidence about long-term share price reaction to financial restatements is missing in prior research. The relationship between long-term and short-term share price reaction to financial restatements fails to suggest systematic over/underreaction by the market.

The purpose of this study is to understand the antecedents of omni-channel shopping with reference to the intention to purchase fashion products by millennials and their perspective towards the omni-channel method of shopping.

The research is based on a quantitative research technique comprising of 302 respondents. A structured questionnaire has been adopted for the survey and to collect data from millennials from India. The questionnaire consisted of 27 constructs, which were measured using a five-point Likert’s scale. In the first step first-order confirmatory factor analysis is carried out, by using the software IBM AMOS-20. The initial model is generated for six constructs, and outcomes are used to analyse the model’s goodness of fit and construct validity. In the second step, the conceptual model is tested through path analysis using structural equation modelling.

The findings indicate that perceived usefulness (PU) significantly affects the continuance intention of usage towards omni-channels. Perceived ease of use does not significantly affect continuance intention of towards usage of omni-channels, and it does not seem to have a significant effect on PU. Cost effectiveness and customer engagement of omni-channel have a significant effect on the continuance intention of its use. Finally, continuance intention towards usage of omni-channel does significantly affects the actual use of omni-channel.

The research on omni-channel for purchasing fashion products is meagre and this particular study with the usage of Technology Acceptance Model including millennials is adding value towards the knowledge base of marketing. This research develops a theoretical framework building on the technology adoption model and empirically tested it.

Industry 4.0 has been identified as a key cornerstone to modernise economies where man and machines complement each other seamlessly to achieve synergies in decision-making and productivity for contributing to SDG 8: Decent Work and Economic Growth and SDG 9: Industry, Innovation and Infrastructure. The integration of Industry 4.0 remains a challenge for the developing world, depending on their current status in the industrial revolution journey from its predecessors 1.0, 2.0 and 3.0. This chapter reviews reported findings in literature to highlight how robotics and automated systems can pave the way to implementing and applying the principles of Industry 4.0 for developing countries like Mauritius, where data collection, processing and analysis for decision-making and prediction are key components to be integrated or designed into industrial processes centred heavily on the use of artificial intelligence (AI) and machine learning techniques. Robotics has not yet found its way into the various industrial sectors in Mauritius, although it has been an important driver for Industry 4.0 across the world. The inherent barriers and transformations needed as well as the potential application scenarios are discussed.

In order to achieve a sustained level of entrepreneurship in India, it is very important that the spirit and culture of entrepreneurship are ingrained in students, right at the “school” level. Specifically, in this study we examine how student entrepreneurial behavior is influenced by entrepreneurial activities at school.

We chose schools in India to recruit the students’ samples; 520 higher secondary school students were approached in-person to understand their entrepreneurial intentions (EI). We applied PLS-SEM to test the relationships of serial mediation.

Our findings imply that the students' entrepreneurial intentions are largely influenced by the school’s entrepreneurship program (e.g. labs, lectures and exercises). Further, we noted that school career guidance and students’ entrepreneurship attitude effectively mediate the relationship between school entrepreneurship curriculum and EI.

Entrepreneurship education beginning in schools does foster stronger entrepreneurial intent over the short-term. It also helps in fostering entrepreneurs, who create jobs and support in achieving the country’s desired SDGs.

The study contributes new dimensions to entrepreneurship research focusing on school children hence anchoring at early stages.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-05-2023-0350

Purpose: The main aim of this study is to explore the emergence and significance of blockchain technology in the financial system. This analysis examines the early stages of the adoption of blockchain technology.

Need of the study: To ascertain the viability of blockchain systems as a viable, fair, and traceable way of storing transaction records in Indian banking and financial services organisations.

Methodology: By virtue, this study is exploratory, following access to related studies on the implementation and applications of blockchain technology in the financial sector.

Findings: This study explores blockchain technology, its adoption, types, usefulness, benefits, challenges, and security concern in the banking sector.

Implications: This study will contribute to future research on applications of blockchain technology in the financial sector. It will help the researcher understand this technology’s importance and complications in the financial system.

To prepare modified epoxy resins from resorcinol, cresol and phenol for improved adhesion and chemical resistance. To evaluate the properties of such modified epoxy resins.

Epoxy novolac resins (ENRs) were synthesised by condensing epichlorohydrin with novolacs based on different types of substituted phenols for improving adhesion and chemical resistance. Various compositions were made by incorporating different proportions of polyamide resin. The chemical and adhesive strengths of the conventional epoxy and the modified epoxy resins were characterised.

The modified ENR using substituted phenols showed significant enhancement of chemical and adhesive strengths over the conventional DGEBA resin. The modified ENR had an increased number of glycidyl groups (thus increased functionality) of resin, which was responsible for improved chemical and adhesive strengths over the conventional DGEBA resin.

The EPN resins used in the present context was synthesised from phenol, resorcinol and cresol and cured by polyamide resin of different amine values. Besides, it could be synthesised from phenolphthalein p‐aminophenol and p‐ter‐butylcatachol, etc.

The method developed provided a simple and practical solution to improving the adhesive and chemical resistance of cured epoxy phenol novolac resins.

The method for enhanced adhesive and chemical resistance of cured epoxy was novel and could find numerous applications in surface coating and adhesive.