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Missed appointments constitute a significant problem in the UK National Health Service (NHS) and this remains an area where improvements could yield substantial efficiency savings. The purpose of this paper is to suggest that nudge policies based on behavioural theories may help target interventions to improve patient motivation to attend appointments.

The authors propose two policies to reduce missed appointments. The first attempts to empower patients through making the appointment system more individualised to them and utilising their intrinsic feelings of social responsibility. The second policy utilises a financial commitment given by the patient at the time of booking. The different mechanisms of influencing patient behaviour are based on two different views of what motivates individuals’ actions. The first policy is based on individuals being “knights”. They are altruistic and have well-intentioned values. The second policy option is constructed on the premise that an individual is governed by self-interest, and they are in fact “knaves”.

A policy, which avoids the use of financial penalties is likely to be more culturally acceptable within the NHS. It could also prevent the phenomenon of “crowding out” whereby the desire to act dutifully gets displaced by the motivation to avoid incurring a monetary fine.

Testing both strategies would provide insight into patient attitudes towards health care and society. This would help optimise behavioural strategies which may influence not only appointment attendances but also have wider implications for encouraging rational health care consumption.

Knowledge workers labor to meet their business goals with the support of practical information technology (IT) tools. IT advances can be organizational enablers, when aligned with business goals, and when selectively applied. Workplace leaders and their workers often experience a productivity paradox. This paradox forms an operational limit for current knowledge workers and organizational success. Performance management steps within a Balanced Scorecard (BSC) framework can help overcome workplace productivity paradoxes. The BSC frames and tabulates lagging and leading indicators of IT tools’ usage and soft skill engagements. These adaptive measures dashboard workplace progress and success for organizations of all sizes and in public and private sectors. Lessons can be learned from BSC deployment successes in several business sectors. Valued practices exist to pick / monitor / adapt organizational capability objectives, measures and HR initiatives. Can right IT tool(s) or application(s) help achieve aligned business goals? Yes. Certain IT applications can favorably frame learning and development (L&D) efforts and metrics for knowledge workers as most valuable players, or MVPs.How do knowledge workers and their business leaders manage and leverage these IT applications for employee L&D to improve organizational capabilities? How do they address and adapt to complex and chaotic business conditions, and manage disruptive technologies: a. Artificial Intelligence (AI), b. The Internet of Things (IoT), and c. Data Analytics? Prudent managers and workers can accommodate these conditions and disruptions with agile, productive BSC approaches to generate productivity-ware and to attain their aligned business goals.

The purpose of this paper is to comprehensively analyze the corporate social responsibility (CSR) and sustainability reporting (SR) practices of Indian companies in terms of disclosure quantity and quality, and to investigate the differences in SR practices by SR dimension, industry, ownership structure, firm size and profitability.

Data are collected from annual reports/business responsibility reports (BRR)/CSR/sustainability reports of 60 top-listed companies in India. A comprehensive sustainability reporting index is developed. Content analysis technique is used. Inter-coder reliability is established.

Altogether, 18 items of the index are not disclosed by the majority of companies in India. SR quality is found significantly lower than the SR quantity. Moreover, SR practices significantly differ by dimension/category, industry-type and firm-size but are not influenced by ownership structure. However, the study fails to establish any conclusive relationship between SR and profitability.

The present study has several implications for corporates, practitioners, policymakers and stakeholders. The findings underscore the need for amendments in the Global Reporting Initiative guidelines and BRR framework of the Securities and Exchange Board of India to avoid patchy disclosures and ensure complete reporting by companies.

This study is among the foremost studies in India evaluating SR practices of top-listed companies in the wake of the mandatory BRR requirement from a quantitative as well as qualitative perspective using a multidimensional index.

The learning outcomes of this paper is as follows: to explain the importance of rationalizing business operations to achieve efficiencies. To explain the importance of constantly re-inventing the product portfolio and the business for the survival and growth of the business. To discuss the use of product-market expansion strategies as used by businesses for growth and sustainability. To evaluate the internal challenges faced by a company as they adopt business strategies for business growth. To discuss a firm’s strategy to exploit significant opportunities in an evolving business environment.

Panasonic Life Solutions India Limited (PLSIND) an electrical products company with operations in India – an emerging market has set a Vision 2022 to achieve INR 69.21bn revenue target by the year 2022. PLSIND is marketed through the distributor business to consumer sales channel. To achieve the new growth targets, it was imperative for them to expand the product portfolio and explore marketing through the new business to business (B2B) and business to government (B2G) sales channels. Dinesh Aggarwal the Joint Managing Director of PLSIND was tasked with this responsibility. Both propositions depicted attractive business potential but at the same time came with additional risks of a longer sales/revenue cycle. PLSIND to a certain extent had ventured into new business projects with the launch of home automation, solar solutions for industries and smart street lighting business projects. In 2019, they also made a modest beginning by achieving revenues of INR 3.4bnn (constituting 10% of their aggregate revenues of INR 34bn) from B2B/B2G sales channels. Aggarwal believed that this was a good beginning. However, to achieve 2022 growth targets, they had to aggressively move forward with the new business strategy. Aggarwal had to work with the management team to gain acceptance and then to manage these additional risks for growth that came with this new business strategy. How could he win the confidence of the management team? How could he best reorganize the business teams and processes internally to enhance the required operational efficiencies for business growth?

This case is designed for business students at the MBA or executive MBA level courses.

Teaching notes are available for educators only.

CSS 11: Strategy.

This paper presents a review of the existing state-of-the-art literature on machine learning (ML) in logistics and supply chain management (LSCM) by analyzing the current literature, contemporary concepts, data and gaps and suggesting potential topics for future research.

A systematic/structured literature review in the subject discipline and a bibliometric analysis were organized. Information regarding industry involvement, geographic location, research design and methods, data analysis techniques, university, affiliation, publishers, authors, year of publications is documented. A wide collection of eight databases from 1994 to 2019 were explored using the keywords “Machine Learning” and “Logistics“, “Transportation” and “Supply Chain” in the title and/or abstract. A total of 110 articles were found, and information on a chain of variables was gathered.

Over the last few decades, the application of emerging technologies has attracted significant interest all around the world. Analysis of the collected data shows that only nine literature reviews have been published in this area. Further, key findings show that 53.8 per cent of publications were closely clustered on transportation and manufacturing industries and 54.7 per cent were centred on mathematical models and simulations. Neural network is applied in 22 papers as their exclusive algorithms. Finally, the main focuses of the current literature are on prediction and optimization, where detection is contributed by only seven articles.

This review is limited to examining only academic sources available from Scopus, Elsevier, Web of Science, Emerald, JSTOR, SAGE, Springer, Taylor and Francis and Wiley which contain the words “Machine Learning” and “Logistics“, “Transportation” and “Supply Chain” in the title and/or abstract.

This paper provides a systematic insight into research trends in ML in both logistics and the supply chain.

This paper aims to analyze the research productivity and impact of the finalists of the AIB best dissertation award, now titled the Buckley and Casson Award, but from 1987 to 2012 the Farmer Award. Specifically, this paper examines whether there is a relationship between winning the best dissertation award and subsequent publication productivity and impact. Relationships between academic institution and institutional geographic location and finalists are also examined.

The paper examines 25 years of citation counts and the number of publications in Google Scholar of Farmer Award winners and finalists of the AIB best dissertation award from inception in 1987 to 2009, with cited publications as a measure of productivity and citations as a measure of impact. Top performers in productivity and impact are identified, and the averages of winners and non-winners are analyzed in aggregate, over time and per year. Data on finalists' institution and geographic location of institution are analyzed to describe the importance of location and institution to the award.

It is found that the overall average citations of the winners of the award is less than that of the non-winners, and that in the large majority of years the non-winners have an average citation count higher than that of the winners. However, taking averages in five year increments shows more mixed results, with non-winners performing better in two periods and winners performing better in two periods, with the remaining period being split as to research productivity and impact.

Aggarwal et al. in this journal summarized a variety of data on Farmer Award finalists from the 1990s to gain insights on institutions represented by finalists, the publication record of finalists, and content of dissertations, among other characteristics. This paper updates some of the insights from that paper by examining data on award winners from 1987 to 2013, and adds further insight by examining for the first time cited publications and citation counts winners and non-winners for the same period excluding the last two years.

The paper aims to develop a novel method for the classification of different physical activities of a human being, using fabric sensors. This method focuses mainly on classifying the physical activity between normal action and violent attack on a victim and verifies its validity.

The system is realized as a protective jacket that can be worn by the subject. Stretch sensors, pressure sensors and a 9 degree of freedom accelerometer are strategically woven on the jacket. The jacket has an internal bus system made of conductive fabric that connects the sensors to the Flora chip, which acts as the data acquisition unit for the data generated. Different activities such as still, standing up, walking, twist-jump-turn, dancing and violent action are performed. The jacket in this study is worn by a healthy subject. The main phases which describe the activity recognition method undertaken in this study are the placement of sensors, pre-processing of data and deploying machine learning models for classification.

The effectiveness of the method was validated in a controlled environment. Certain challenges are also faced in building the experimental setup for the collection of data from the hardware. The most tedious challenge is to collect the data without noise and error, created by voltage fluctuations when stretched. The results show that the support vector machine classifier can classify different activities and is able to differentiate normal action and violent attacks with an accuracy of 98.8%, which is superior to other methods and algorithms.

This study leads to an understanding of human physical movement under violent activity. The results show that data compared with normal physical motion, which includes even a form of dance is quite different from the data collected during violent physical motion. This jacket construction with woven sensors can capture every dimension of the physical motion adding features to the data on which the machine learning model will be built.

Unlike other studies, where sensors are placed on isolated parts of the body, in this study, the fabric sensors are woven into the fabric itself to collect the data and to achieve maximum accuracy instead of using isolated wearable sensors. This method, together with a fabric pressure and stretch sensors, can provide key data and accurate feedback information when the victim is being attacked or is in a normal state of action.

Integrated advertising, promotion and marketing communications.

The case has been developed for use in marketing communication as well as strategic brand management courses of MBA and/or PGDM programmes. It high/ights the fact that generating interest amongst customers is not the only task of marketing strategists but conversion of such interest into an effective purchase is what the marketing department should be looking for.

The case takes the students through the journey of Vodafone's marketing communication since its introduction in the Indian market. It gives the reader a briefing as to how Vodafone has grown in the past few years - the changes in communication strategies involved to propagate the product; the integrated marketing communications that have he/ped Vodafone increase its customer base considerably. As mentioned by Marten Pieters, CEO of Vodafone Essar, India is an emerging market and it is necessary for Vodafone not on/y to increase its customer base but a/so to generate revenues. Therefore, his di/emma is how to bring about the perceptual connect with customers which induces them into product usage.

The area of integrated advertising, promotion and marketing communications is an integral part of marketing. It forms the foundation of creating effective marketing programmes that in turn helps develop positive product perception in the minds of the customers. It also helps the student understand the role of customizing the marketing communication according to the target audience and the importance of integrating advertising with not only the promotional activities but also other newer forms of marketing communications. The case has been structured to achieve the following learning objectives: the role of marketing communications in creating and building brand Vodafone; understanding the importance and key elements of Vodafone's Zoozoo ad campaign relating it to Vodafone's communication strategies; and the effect of marketing communication on the customers' perception about the brand.

Teaching notes are available. Please consult your librarian for access.

Construction trade unions have been a vital force in improving the job standards and wellbeing of trade workers. However, the union membership in the construction industry has dropped by half between 1983 and 2017. The objective of this study is to identify and assess the controlling factors of construction electrical trade unionization in the United States.

The study involved four main steps. Literature review and industry townhall meetings were conducted to identify the electrical trade unionization factors. A new unionization trend metric was developed using available union market share data to quantify the growth and decline of local unions. Mixed-mode surveying was used to collect questionnaire and interview data on the unionization factors in different local units of the electrical trade union. Finally, the survey data from the questionnaire and interviews were merged and their correlation with the unionization trend data was assessed.

The study found that the unionization of this specialty trade is dependent on increasing the crew ratio, expanding the non-apprenticeship union membership program, organizing larger contractors, and continuing the union focus on public and heavy industrial projects.

The study contributes to the construction management body of knowledge by providing a data-driven industry-wide assessment of the factors that affect electrical construction unionization. The study advances the understanding of construction trade unions by narrowing the theory-practice knowledge gap, illustrating the use of macro quantitative empirical research methods, and developing a new unionization trend metric.

The student will be able to understand the concept of spotting an opportunity and exploiting the same. The student will be able to comprehend the various challenges faced in the development of a business idea. The student will be able to understand the strategies that need to be adopted to cope with and grow, in a competitive business environment.

Samar Singla, the Chief Executive Officer of Jugnoo, had sensed a business opportunity in auto rickshaw aggregation. He was convinced that being among the initial players in the market of auto rickshaw aggregation, there would be very little competition. He only had to play his cards right, to become the top auto aggregator. As Singla started the business, there were challenges like inducting the auto rickshaw drivers as partners, training them, hiring the right team, putting the right strategies in place and to expand the business. Singla launched and achieved robust growth in the new business, in a short period of time. Soon, however, Jugnoo felt competition breathing down their neck – form cab aggregators who were already dominant players in the cabs aggregation segment, in the large cities. To hedge their risks, Singla added other services such as “Meal” (meal delivery) and “Fatafat” (goods delivery) – as B2C and B2B services. These services, however, had to be closed soon after because of stiff competition from the local players. Singla also adopted the inorganic growth path by acquiring “Sabkuch,” a grocery delivery logistics firm; “Yelo,” a platform that provided online access to businesses and “BookMyCab,” a taxi aggregation company. Faced with tapering growth after an initial steep rise, Singla had to confront a dilemma about the right method of ensuring growth in the face of competition.

Under graduate, masters in business administration and post graduation in the areas of entrepreneurship and strategy.

Teaching Notes are available for educators only.

CSS 11: Strategy.