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This paper aims to investigate the effect of parent–adolescent conflict in step versus biological families on family communication patterns (FCPs) and the conflict resolution strategy adopted by adolescents during family destinations or holiday planning (where to visit?).

The literature on family conflict (i.e. parent–adolescent conflict) and the different types of families (step vs nuclear) supported the proposed framework. The survey was conducted in the Indian subcontinent with a sample size of 437 adolescents. SPSS 22.0 was used for factor analysis (exploratory and confirmatory factor analysis) and structural equation modelling was used through AMOS 26.0 for data analysis.

Significant relationship was observed between the types of families (step and biological), FCP and the resolution strategy chosen by Indian adolescents. Adopting a resolution strategy by adolescents in both families depends on the type of FCP in the family. Adolescents in stepfamilies have socio-oriented FCP and use “positive problem-solving” and “conflict withdrawal” as a resolution strategy. In contrast, adolescents in biological families have concept-oriented families and use “conflict enhancement” as a resolution strategy. It has also been found that adolescents who fall into high-stress categories used conflict enhancement strategies. In contrast, those who fall under low-stress categories used positive problem-solving and withdrawal strategies.

This study will add a new chapter to adolescents’ decision-making literature in line with the previous research. It has practical implications for tourism marketers, academicians/researchers and policymakers. Marketers can segment adolescents into step versus biological families, and the choice of resolution strategies may introduce efficient and competent marketing strategies and promotional campaigns.

This study favours that family type is a robust construct to predict adolescents’ choice of resolution strategy. So, it is one of the most influential variables in adolescents’ resolution strategy adoption.

This study aims to investigate an initial understanding about the different factors that are inducing and stemming the monotony of different social networking sites (SNSs). Specifically, the study provides an initial understanding for the liking/disliking of different SNSs, factors affecting users’ monotony and its impact on the success and effectiveness of different marketing activities.

A survey questionnaire was adopted from previously developed and validated scales. The questionnaire was administered to undergraduate students enrolled in different universities in India. We have used regression analysis, bootstrapping technique, Sobel test and ANOVA to address the research questions and hence to test the hypotheses.

The findings of the study revealed that gender does not have any impact on the monotony of SNSs. Both genders are experiencing boredom for SNSs and spend less time on such sites. Moreover, SNS boredom negatively impacts users’ attitudes toward different SNSs such as Facebook, twitter, etc., which in turn develop negative attitudes toward the different advertisement on these sites. This study revealed the marketers’ necessity of studying the phenomenon of SNS boredom. One of the most important finding of this study is that users’ age decides the level of monotony/boredom with the social sites; older users report significantly lower levels of social sites boredom as compared to younger users.

To capture the opinion of SNS users, this study used a sample of students from different universities. The study findings are primarily based on studies utilizing millennial population.

This is the first study which empirically examines the phenomenon of social networking boredom among millennial by linking the theories of monotony, i.e. gratification theory. The findings of the study added a chapter in the literature by identifying the underlying mechanism through which monotony of SNS impacts effectiveness of the social media marketing activities. The findings shed more light on the consequences of SNS monotony for the digital marketers and revealed that age is an important factor in it.

In today's era of a digital world, mobile phones have now become an essential part in everyday life. The selection of the best mobile phone among the available alternatives is a complex decision making it a problem for the customers. Mobile phone manufactures are facing a lot of problems for launching/introducing a mobile phone according to the requirement of customers and it depends on a number of criteria/attributes such as: technical specifications, price, brand etc.

In the presented work, the above-discussed problem has been considered as a Multi-Criteria Decision Making MCDM problem and an approach based on Kano model with Fuzzy AHP and TOPSIS has been proposed to solve the problem. The Kano model has been used for identifying the different Kano categories of all the features through a customer survey. Fuzzy AHP has been applied to achieve the weights of each feature in order to introduce a best mobile phone for the customers. TOPSIS has been used for ranking of alternatives.

main features with different other sub-features have been selected for the study. Different features have been considered as categories and their Kano categories have been found out. The importance of these features has also been calculated by Fuzzy-AHP in terms of their evaluated weights. Different mobile phones have been ranked by TOPSIS according to their features calculated by Fuzzy-AHP. The proposed approach seems effective for identifying/classifying different attributes/features of mobile phones according to customer's requirements.

Here, different features of a mobile phone have been considered for designing a suitable mobile phone. Thus, this work can help a designer to design and select a suitable feature for a customer-oriented mobile phone.

This study aims to test an integrated model that examines the relationship between the service qualities of police at any urban tourist destination and the tourist urban destination advocacy at tourist cities in the Shimla region of India, where tourists’ trust in police acts as a mediating variable. This study mainly focused on the type of service shown by police officials to develop trust among the tourists, resulting in their urban destination advocacy.

The questionnaire was adopted from previously developed and validated scales. The questionnaire was administered to different tourists who came to India. This study used the bootstrapping technique and structural equation modelling (SEM) to address the research questions and test the hypotheses.

This study results indicate that trust in the police mediates the relationship between police service quality and tourist satisfaction at any urban tourist destination. The study’s findings add to the literature on tourists’ trust in policing tourist sites, police service quality and leader behaviour.

The above-tested model has a very limited number of constructs. There are a variety of additional antecedents (e.g. police organization culture and urban destination attributes) and consequences (word-of-mouth referrals and customer identification) that could be considered for future research to develop a more comprehensive model. The cross-sectional study raises concerns about the causal relationships between constructs in the tested model. More substantial evidence of causality via longitudinal and experimental studies is needed.

The study’s findings added a chapter to the literature by identifying how police service quality impacts tourist trust building and urban destination advocacy.

The determinants of investor sentiment based on stock market proxies are found in numbers in empirical studies. However, investor sentiment antecedents developed from primary survey measures by constructing an investor sentiment index (ISI) are not done till date. The purpose of this paper is to fill this research gap by first developing an ISI for the Indian retail investors and then examining the investor-specific, stock market-specific, macroeconomic and policy-specific factors’ individual impact on the investor sentiment.

First, the authors develop the ISI by using the mean scores of six statements as formulated based on popular direct investor sentiment surveys undertaken throughout the world. Then, the authors employ the structural equation modeling approach on the responses of 576 respondents on 40 statements (representing the index and four study hypotheses) collected in 2016 across the country.

The results show that investor- and stock market-specific factors are the major antecedents of investor sentiment for these investors. However, interestingly macroeconomic fundamentals and policy-specific factors have no role to play in driving their sentiment to invest in the stock market.

The major implication of the results is that the Indian retail investors are showing a mixed approach of Bayesian and behavioral finance decision making. So, these implications can guide the investment consultants, regulators, other stakeholders in markets and overwhelmingly the retail investors to introspect their investment decision making across time horizons.

The formulation of ISI in an emerging market context and thereafter examining possible antecedents to influence retail investors in their investment decision making are not done till date. So, the study is unique in its research issue and findings and will have significant implication for the retail investors at least in emerging market contexts.

The purpose of this paper is to investigate ways to improve operational efficiency of outbound retail logistics considering retailers and consumers by using clustering approach. The retailers are allocated to serve a cluster of consumers. This study demonstrates economic and environment benefits that are achieved in terms of reduced delivery time, transportation cost and carbon emissions.

This study is based on modeling the outbound logistics of a retail chain by using Kohonen self-organizing map (KSOM). KSOM is an unsupervised learning and data analysis method for vector quantization, which is based on Euclidean distance method to form clusters.

Appropriate clustering of retailers and consumers provides efficient locations of retailers that are identified using the KSOM training algorithm. It provides optimum distance with lesser delivery time, transportation cost and carbon emissions.

The implication of research includes modeling of operational procedures in a retail supply chain, which is a crucial task for a business. These operations positively affect the reduction in inventory and distribution costs, improvement in customer service and responsiveness to the ever-changing markets of consumer durables. Overall results are insightful and practical in the sense that implementation would result in consumer convenience, eco-friendly environment, etc.

There is not enough research available on outbound retail logistics considering retailers and consumers using clustering approach.

Leraning outcomes are as follows: demonstrating how companies in the Indian market are using competitive advertising; giving participants an overview of the regulatory framework for advertising in India; highlighting the complexities arising out of the multiplicity of advertising regulations and institutions in India; appreciating the legal and ethical perspectives of advertisements and self-regulation; and evaluating the stance taken by both the parties in this particular case to develop multi-stakeholder perspective.

A recent advertisement by international conglomerate Hindustan Unilever Limited was severely criticized for insulting Indian values by Baba Ramdev, promoter of India's largest Ayurvedic Company selling Indian indigenous and natural alternate medicinal products. It was in a complete reversal of the scenario between 2015 and 2018 when other Indian consumer goods companies complained against advertisements released by Patanjali. Indian fast moving consumer goods sector is witnessing a trend of competitive advertising in which companies are downplaying and criticizing the competitors. Though quite old, this trend caught momentum when Patanjali Ayurved Limited, a new player in the market, started advertising aggressively in 2015–2016. It resulted in many complaints by the aggrieved parties in the industry bodies and different courts of law in India. A part of the confusion comes from the diversity of advertising regulations across different Indian platforms and the absence of a clearly defined institutional framework for resolving such disputes. Consequently, most such disputes land up in the court of law in India. The case study builds an understanding of the legal framework within which companies are governed for brand promotions and creates a contextual ethical dilemma to drive the discourse on advertising through self-regulation in India.

This case is meant to benefit students pursuing a graduate or upper-level undergraduate degree in management or law/business law.

Teaching notes are available for educators only.

CSS 8: Marketing.

The case is written on the basis of published sources only.

Doodlage, a start-up incorporated in 2012 by Kriti Tula, Paras Arora and Vaibhav Kapoor, used discarded waste to create sustainable fashion products. It had a first-mover advantage in recycled fashion goods in the first 10 years of its existence. The company contributed to sustainable fashion by providing an alternative to fast fashion production, creating enormous clothing waste and environmental degradation. In the first quarter of 2022, it saved and reused 15,000 m of fabric waste. From 2018 to 2021, the company grew 150% annually, targeting the right customers and regions to expand its business. It ensured that postproduction industrial waste and postconsumption garments were used to produce clothes. It also confirmed that the waste generated in its fabric screening process was used to create stationery items and other valuable accessories.

However, the sustainable fashion model that gave the company a competitive advantage became obsolete in 2022 due to increasing competition in the industry as various players using unique ideas entered the market. The company is encountering operational and logistical challenges that are affecting its performance. The demand for its products was also subdued due to high prices of upcycled and recycled clothes and less consumer spending post-COVID pandemic. The competitors of Doodlage offered multiple products produced using environmentally friendly farming and manufacturing techniques, attracting sustainable purchasers. What should be the new portfolio of products for the company to explore future growth opportunities? Considering their vast price, can consumers be encouraged to buy upcycled clothes? How should the company ride the winds of change in the industry?

The instructor should initiate the class discussion by asking questions such as how frequently do you shop for clothes? Do you care about the fabric of your apparel? After you discard your clothes, do you think about where these goods finally end up? Data on the amount of total waste generated in the fashion industry should be communicated to students to connect it with the importance of the concept of circular economy. Post this, the instructor should introduce the business model of Doodlage to bring the discussion into the context of the fashion industry before going ahead to discuss the company’s dilemma.

The learning outcome of this paper is to understand the geopolitical aspects of international business. Assessing the political risk inherent in international investment projects. Maintaining a favorable corporate image in the host country despite apparent hostilities. Analyzing the risks associated with doing business in an emerging market.

In February 2019, local newspapers in the Maldives published unconfirmed reports that the Indian company GMR was reinvesting in the Maldives. GMR had secured a contract in 2010 for renovation/expansion of The Maldives International Airport. However, the contract created political turmoil, with opposition parties objecting to some clauses. People considered GMR closer to the incumbent President, Mohammed Nasheed. The unstable political scenario forced President Nasheed to resign amidst allegations of corruption. The new President showed hostility toward India and GMR while making overtures to China. He canceled the airport contract and awarded it to a Chinese company. GMR went to the international Tribunal in Singapore. The tribunal upheld the Maldivian government’s right to terminate the agreement but awarded GMR a compensation of US$270m. In 2019, a new government came to power in the Maldives, with Mohammed Nasheed enjoying a commanding position. The government pledged to accept the judgment of the Singapore International Tribunal. The local media discussed the possibility of the return of GMR to the Maldives after seeing some senior GMR officials in the Maldives. However, it was not clear whether it would be a good idea for GMR.

Master's level program.

Teaching notes are available for educators only.

CCS 11: Strategy.

The purpose of this paper is to provide a clear view of current dynamics and research diversification of extant literature in the field of work-life balance (WLB). This paper provides a systematic and critical analysis of WLB literature using bibliometric analysis.

Scopus database has been used for carrying out this review that is based on 945 research papers published from 1998 to 2020. The prominence of the research is assessed by studying the publication trend, sample statistics, theoretical foundation, the highly cited research articles and journals, most commonly used keywords, research themes of top four recognized clusters, sub-themes within each cluster and thematic overview of WLB corpus formed on the premise of bibliographic coupling. Additionally, content analysis of recently published papers revealed emerging research patterns and potential gaps.

Major findings indicate that the research area consists of four established and emerging research themes based on clusters formed as (1) flexible work arrangements, (2) gender differences in WLB, (3) work–life interface and its related concepts, and (4) WLB policies and practices. Emerging themes identified through content analysis of recent articles include gender discrepancy, the impact of different forms of contextual (situational) factors and organizational culture.

This research paper is the first of its kind on the subject of WLB as it provides multifariousness of study fields within the WLB corpus by using varied bibliographic mapping approaches. It also suggests viable avenues for future research.