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Rachel Banning was assigned a new role in HR with the responsibility to update recruitment and orientation systems to meet the rapidly growing demand for manpower at McCune Contracting, an oilfield services provider in Alberta, Canada. McCune’s industry peers were competing to attract the same skilled employees, within a relatively small talent pool. The HR team was only a few short weeks away from the upcoming peak “turnaround season” when they would be expected to recruit and deploy 500 new temporary workers for their clients’ sites. Banning knew she had to take immediate actions to fix as many of the systems issues as possible and to eventually set the team up with a more permanent solution for systems integration.

The authors had access to McCune Contracting to complete field research for this case.

The case is designed for business students at both graduate and undergraduate levels. The case can be used in operations management courses to discuss the topic of process analysis and operations strategy or in management information system courses as a comprehensive case study for use at the end of the course. The case might particularly appeal to students who have worked in human resources management areas or the service industry.

Theoretical underpinnings include a process view of organizational performance, internal supplier and internal customer orientation, performance improvement, information systems integration and value chain analysis.

Given the urgency to address the climate change crisis, the purpose of this study was to investigate the impact of 12 macro-level antecedents on energy and environmental (E&E) shareholder activism in 12 developed countries. Focus was placed on shareholder-initiated E&E resolutions.

Panel regressions were used to evaluate the relationships between the macro-level antecedents and two dependent variables, namely, the number of shareholder-initiated E&E resolutions filed and voting support for these resolutions.

The number of shareholder-initiated E&E resolutions filed increased slightly over the research period (2010–2019) but received very little voting support on average. Most of the 1,116 considered resolutions centred on the adoption or amendment of nuclear and environmental policies. Several resolutions called for improved E&E reporting. A significant relationship was found between the number of shareholder-initiated E&E resolutions filed and the rule of law.

The empirical evidence confirmed limited voting support for shareholder-initiated E&E resolutions and the importance of the rule of law in advancing the E&E social movement.

As the E&E social movement is gaining momentum, listed companies in the considered countries are likely to experience more pressure from shareholder activists.

To achieve participatory and inclusive climate governance, shareholder activists should collaborate more closely with other challengers in the E&E social movement, notably policy makers and those promoting the rule of law.

The authors considered macro-level antecedents of E&E shareholder activism that have received scant attention in earlier studies. Social movement theory was used as a novel theoretical lens.

Lack of understanding of the needs of older LGBT individuals is a global issue and their needs are often ignored by health and social care providers who adopt sexuality-blind approaches within their provision. As a result, public services can find it difficult to push the LGBT equalities agenda forward due to resistance to change and underlying discrimination. The aim of this paper is to discuss these issues.

This report considers how a body of participatory research concerning the needs and experiences of older LGBT people was used to create innovatory dissemination tools, which then engaged communities through public engagement to learn about the needs and experiences of older LGBT citizens. Good research has a “long tail” – (in statistics, “a large number of occurrences far from the ‘head’ or central part of the distribution”). The report considers how a film and a method deck of cards, presented to service providers in several workshops over time, offered opportunities to learn and critically reflect upon an informed practice.

Because of the on-going feedback from our workshops, the authors, in turn, learned the importance of having a champion within a community organisation to take forward the LGBT agenda. A report of one such outreach champion is included here.

Consideration is given to challenges involved in creating impact through research, and how participatory community processes may enhance impact to develop over time.

This paper aims to explore the learning needs of general practitioners (GPs) involved in commissioning mental health provision in England, and offer an evaluation of a leadership and commissioning skills development programme for Mental Health Commissioners.

Retrospective mixed method, including online mixed method survey, rating participants’ knowledge, skills, abilities, semi-structured telephone interviews and third-party questionnaires were used. Results were analysed for significant differences using the Wilcoxon Signed Ranks test. Open-ended responses and interview transcripts were analysed thematically.

Indicative results showed that participants perceived significant impacts in ability across eight key question groups evaluated. Differences were found between the perceived and observed impact in relation to technical areas covered within the programme which were perceived as the highest scoring impacts by participants.

The indicative results show a positive impact on practice has been both perceived and observed. Findings illustrate the value of this development programme on both the personal development of GP Mental Health Commissioners and commissioning practice. Although the findings of this evaluation increase understanding in relation to an important and topical area, larger scale, prospective evaluations are required. Impact evaluations could be embedded within future programmes to encourage higher participant and third-party engagement. Future evaluations would benefit from collection and analysis of attendance data. Further research could involve patient, service user and carer perspectives on mental health commissioning.

Results of this evaluation could inform the development of future learning programmes for mental health commissioners as part of a national approach to improve mental health provision.

NEJE Editors interview Cindi Bigelow: director of activities at Bigelow Tea

Through the application of Hirst’s “forms of knowledge” theory, it is shown that the Shakers’ nineteenth century management principles had many similarities to Deming’s tenets. For example, Shakers were committed to perfection in work, taking their time in pursuit of quality. Training was accomplished through sharing community expertise, apprenticing, and rotating jobs. Also, equality and cooperation were encouraged among the “brothers” and “sisters.” This example of management history research provides a baseline from which management concepts can be understood and potential mistakes avoided.

Artificial neural network (ANN) is a powerful technique to forecast the time series data such as the stock market. Therefore, this study aims to predict the Indian stock market closing price using ANNs.

The input variables identified from the literature are some macroeconomic variables and a global stock market factor. The study uses an ANN with Scaled Conjugate Gradient Algorithm (SCG) to forecast the Bombay Stock Exchange (BSE) Sensex.

The empirical findings reveal that the ANN model is able to achieve 93% accuracy in predicting the BSE Sensex closing prices. Moreover, the results indicate that the Morgan Stanley Capital International world index is the most important variable and the index of industrial production is the least important in predicting Sensex.

The findings of the study have implications for the investors of all categories such as foreign institutional investors, domestic institutional investors and investment houses.

The novelty of this study lies in the fact that there are hardly any studies that use ANN to forecast the Indian stock market using macroeconomic indicators.

Considers the crucial role of private sector social entrepreneurship in the context of a state welfare system stretched beyond its means. Defines social entrepreneurship, recounts a number of key points from relevant research projects, reflects upon current developments and initiatives, describes a number of cases and uses these to draw a set of tentative conclusions about social entrepreneurs and social entrepreneurship in the context of the current government’s aim of fostering rapid growth in the sector. Concludes that while such growth is highly desirable, a number of hurdles have to be overcome.

Mobile technologies have recently come to serve as the primary reservation option for the hospitality industry. This study examines the role of online experience in determining potential consumers' perceived hotel brand image, through a three-stage model based on the stimulus–organism–response (SOR) framework.

A dual-stage analytical procedure, including structural equation modeling (SEM) and an artificial neural network (ANN) approach, was adopted to test the hypotheses.

Online experience of mobile applications (apps) can be influenced by perceived usefulness. As the indivisible component of consumers' cognitive beliefs, perceived ease of use exerts a positive impact on online experience. The online experience of mobile apps positively influenced brand awareness and satisfaction, further contributing to potential consumers' brand image formation.

This study empirically verified the relationships among potential hotel consumers' perceptions of official hotel mobile app quality, online experience and brand image.

This study reiterates the importance of official hotel apps in implementing online marketing strategies, suggesting that hoteliers should pay attention to enhancing the quality of their official apps.

This study is one of the first to combine machine learning techniques with the traditional SEM approach to assess linear and nonlinear relationships in consumers' perceptual models. Additionally, the findings provide theoretical insights into the online experience of mobile apps and reveal the perceived brand image formation process of potential consumers.

Though Blockchain has been studied in numerous contexts, the understanding of the impacts of Blockchain in achieving competitive advantages remains unexplored. Many industries, organizations and firms are still in a “wait and see” mode. This study aims at examining the effects of the technological, organizational and environmental factors drawn from the TOE framework in generating competitive advantage.

A dual-staged deep learning structural equation modeling artificial neural network analysis was conducted on 211 samples of small and medium enterprises. Four neural network models were engaged to rank the normalized importance of each of the predictor variables.

The research model can expound 57.99 and 47.33% of the variance in Blockchain adoption and competitive advantage correspondingly. The study successfully identified nonlinear relationships. The theoretical and managerial contributions are useful to scholars and practitioners such as industrial players, investors, chief executive officers (CEOs), managers, decision-makers and other stakeholders that intend to use Blockchain technology.

Unlike the existing technological–organizational–environmental (TOE) framework that uses a linear model and theoretically assumes that all relationships are linear, this has been the first study, which has successfully validated that there exist nonlinear relationships in the TOE framework. Further, very little has been theorized on the impacts of Blockchain adoption on competitive advantage, especially in the context of SMEs. Therefore, this study is the first one to provide the necessary theoretical foundation that may further extend the current knowledge of Blockchain technology adoption and its impacts.