Pallavi Pandey, Saumya Singh and Pramod Pathak
Research investigating turnover intention among frontline employees in the Indian retail industry is scarce. The purpose of this paper is to explore factors affecting withdrawal…
Abstract
Purpose
Research investigating turnover intention among frontline employees in the Indian retail industry is scarce. The purpose of this paper is to explore factors affecting withdrawal cognitions among front-end retail employees in India.
Design/methodology/approach
Semi-structured interviews were conducted to explore the factors responsible for developing turnover intentions among the front-end employees. Data were analyzed using the ground theory approach.
Findings
Qualitative investigation revealed nine factors (abusive supervision, favoritism, perceived job image, insufficient pay, work exhaustion, perceived unethical climate, organization culture shock, staff shortage and job dissatisfaction) are responsible for developing turnover intention among front-end employees in the Indian retail industry.
Originality/value
The study uncovers antecedents of turnover intention among front-end employees in the relatively neglected Indian retail sector through a qualitative technique. Theoretical contributions, managerial implications, limitations and direction for future research are discussed.
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Packiaraj Thangavel, Pramod Pathak and Bibhas Chandra
Young consumers are recognized as an important and lucrative segment for the businesses across the globe. While initial steps have been taken to understand them, majority of the…
Abstract
Purpose
Young consumers are recognized as an important and lucrative segment for the businesses across the globe. While initial steps have been taken to understand them, majority of the existing works consider both Millennials and Generation Z as a single and homogeneous market segment. The purpose of this study is to explore the consumer decision-making styles which are prevalent among Indian Millennials and Generation Z e-shoppers, and how significantly they differ from one another on each of those decision-making attributes.
Design/methodology/approach
This exploratory study used the generational cohort theory (GCT) as a framework. The psychographic statements (Questionnaire items) employed were adopted from several past researches on store orientation and catalog orientation, and they were rephrased to suit to the context of Indian online shopping. The principal components factor analysis with promax rotation has been used to unearth the underlying decision-styles among 503 survey participants. Subsequently, the ANOVA model was run to examine the mean differences between the cohorts.
Findings
The factor analysis has revealed that frugality (Price), convenience (Home) and social desirableness are the most dominant shopping orientations (decision-styles) that prevail among Indian (Millennials and Generation Z) online shoppers though in varying degrees. The probing of ANOVA results suggested that, though both the cohorts favor e-shopping, Generation Z are more enthusiastic about online shopping than their Millennial counterparts do.
Practical implications
Though Generation Z and Millennials share few characteristics between them, they exhibit different consumer behaviors. Marketers need to customize their value offerings and marketing communications that resonate well with each generational cohort.
Originality/value
Almost all the existing research works that have been conducted so far on generational cohorts are from Western and European countries and one could confidently say that those findings cannot be applied for the developing nations such as India which is a complex and diverse country in terms of its language, custom, religion and practices with troublesome pasts. Moreover, this is the first empirical work to be conducted to unearth the generational differences that exist between Generation Z and Millennials to the best of authors' knowledge.
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Pramod Pathak, R. Venugopal and Shishir Chandra
The image that India carries in the minds of foreign investors is that of an orthodox, corrupt, poor country that is not investor friendly. Most of the international rating…
Abstract
The image that India carries in the minds of foreign investors is that of an orthodox, corrupt, poor country that is not investor friendly. Most of the international rating agencies have been inadvertently falling into this trap and have failed to objectively assess India vis‐a‐vis investor friendliness. The reality, however, is that India holds tremendous potential for the willing investor and is as investor friendly as any of the so‐called top countries. This paper attempts to offer an objective evaluation of India as an investment destination, and thereby shatter many of the myths about investing in India. There have been governments in power with diametrically opposite ideologies but the policy towards liberalization remains unchanged. The need for growth—and the strategies needed for that growth—is very well understood by Indian policymakers. Some decisions, like the one to go Nuclear, may have political overtones but, by and large, it is the economy that drives governance today.
Santu Das, Jamini Kanta Pattanayak and Pramod Pathak
The main purpose of this research study is to investigate the impact of quarterly earnings announcements on stock price movement of the firms constituting the SENSEX under two…
Abstract
Purpose
The main purpose of this research study is to investigate the impact of quarterly earnings announcements on stock price movement of the firms constituting the SENSEX under two different market conditions – booming followed by recessionary. Analysis of price effect of quarterly earnings announcements during the five-year period prior to trading suspension, which is also characterized by a booming market condition have been made. Similar analysis during the five-year period following the trading suspension and marked by recessionary market condition has also been carried out side by side.
Design/methodology/approach
Event study methodology using daily returns and market model has been used for the purpose of analyzing the quarterly earnings announcement effects on the security prices of the firms. A sign test has also been used along with the event study.
Findings
The study reveals that quarterly earnings announcement does not have statistically significant effect on stock returns during the booming as well as the recessionary market conditions. The impact of quarterly earnings announcements on stock price movement of firms constituting the SENSEX has been similar for both periods undertaken in the study.
Research limitations/implications
The study has been undertaken using the firms listed in BSE SENSEX. The effect of the quarterly earnings announcement with reference to firms listed in other indices, if covered, may provide different sets of results.
Originality/value
The paper identifies the informational value of quarterly earnings announcement of BSE-SENSEX.
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Ramendra Singh, Pramod Paliwal and Sanjay Sakariya
Marketing-managing customer relationship, market positioning, target marketing, product strategy, distribution, retailing and supply chain management, integrated marketing…
Abstract
Subject area
Marketing-managing customer relationship, market positioning, target marketing, product strategy, distribution, retailing and supply chain management, integrated marketing communications.
Study level/applicability
Undergraduate and graduate students in international marketing; business administration; strategic decision making and general management courses.
Case overview
The case study focuses on the current scenario within the Indian automotive lubricants industry, in order to provide an understanding of the marketing challenges, especially in retailing and distribution, faced by organisations within this highly competitive sector. The case examines the implementation of marketing strategies into practice and provides an insight into the importance of branding, market segmentation, market positioning, product and pricing strategies and customer relationship management (CRM).
Expected learning outcomes
The case study enables the students to understand and analyse: the current business environment and dynamics of emergence in the Indian automotive lubricants market; the critical success factors for doing business in the Indian automotive lubricants market and the associated opportunities and challenges; the importance of distribution and retailing strategies in the Indian context; Izo's growth and expansion strategy in India; and Izo's sales management and CRM systems and there importance to the success of the business.
Supplementary materials
Teaching note.
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Pramod Kumar Singh, Sunil Kumar, Z. F. Bhat and Pavan Kumar
This paper aims to focus on the effect of Sorghum bicolour on the quality characteristics of chevon cutlets and to evaluate the effect of clove oil on the storage quality of…
Abstract
Purpose
This paper aims to focus on the effect of Sorghum bicolour on the quality characteristics of chevon cutlets and to evaluate the effect of clove oil on the storage quality of aerobically packaged chevon cutlets.
Design/methodology/approach
Three levels of sorghum flour, namely, 2, 4 and 6 per cent, were incorporated in the formulation, and the products developed were assessed for various physicochemical, sensory, texture and colour parameters. Chevon cutlets containing optimum level of sorghum flour were treated with clove oil (100 ppm) and evaluated for storage quality for 15 days under refrigerated conditions (4 ± 1°C). The products were analysed for various physicochemical, microbiological and sensory parameters.
Findings
Crude fibre, texture parameters, i.e. hardness, adhesiveness, springiness, cohesiveness, chewiness, gumminess and product redness value, showed significant (p < 0.05) increasing trend, whereas moisture per cent, fat content and overall acceptability decreased significantly (p < 0.05) with increasing levels of incorporation. Chevon cutlets containing 6 per cent sorghum flour were optimized as best. Thiobarbituric acid-reactive substance value (mg malonaldehyde/kg), total plate count (cfu/g) and psychrophillic count (cfu/g) showed a significant increasing trend (p < 0.05), whereas all the sensory parameters decreased significantly (p < 0.05) with increasing days of storage. The products were successfully stored for 10 days under refrigerated conditions (4 ± 1°C) without marked loss in quality.
Originality/value
The paper has demonstrated the potential of sorghum as a fibre source in the development of designer chevon cutlets and effect of clove oil on the storage quality of aerobically packaged chevon cutlets.
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This study explores privacy challenges in recommender systems (RSs) and how they have leveraged privacy-preserving technology for risk mitigation. The study also elucidates the…
Abstract
Purpose
This study explores privacy challenges in recommender systems (RSs) and how they have leveraged privacy-preserving technology for risk mitigation. The study also elucidates the extent of adopting privacy-preserving RSs and postulates the future direction of research in RS security.
Design/methodology/approach
The study gathered articles from well-known databases such as SCOPUS, Web of Science and Google scholar. A systematic literature review using PRISMA was carried out on the 41 papers that are shortlisted for study. Two research questions were framed to carry out the review.
Findings
It is evident from this study that privacy issues in the RS have been addressed with various techniques. However, many more challenges are expected while leveraging technology advancements for fine-tuning recommenders, and a research agenda has been devised by postulating future directions.
Originality/value
The study unveils a new comprehensive perspective regarding privacy preservation in recommenders. There is no promising study found that gathers techniques used for privacy protection. The study summarizes the research agenda, and it will be a good reference article for those who develop privacy-preserving RSs.
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J. Jena, Sumati Sidharth, Lakshman S. Thakur, Devendra Kumar Pathak and V.C. Pandey
The purpose of this paper is to elucidate the methodology of total interpretive structural modeling (TISM) in order to provide interpretation for direct as well as significant…
Abstract
Purpose
The purpose of this paper is to elucidate the methodology of total interpretive structural modeling (TISM) in order to provide interpretation for direct as well as significant transitive linkages in a directed graph.
Design/methodology/approach
This study begins by unfolding the concepts and advantages of TISM. The step-by-step methodology of TISM is exemplified by employing it to analyze the mutual dependence among inhibitors of smartphone manufacturing ecosystem development (SMED). Cross-impact matrix multiplication applied to the classification analysis is also performed to graphically represent these inhibitors based on their driving power and dependence.
Findings
This study highlights the significance of TISM over conventional interpretive structural modeling (ISM). The inhibitors of SMED are explored by reviewing existing literature and obtaining experts’ opinions. TISM is employed to classify these inhibitors in order to devise a five-level hierarchical structure based on their driving power and dependence.
Practical implications
This study facilitates decision makers to take required actions to mitigate these inhibitors. Inhibitors (with strong driving power), which occupy the bottom level in the TISM hierarchy, require more attention from top management and effective monitoring of these inhibitors can assist in achieving the organizations’ goals.
Originality/value
By unfolding the benefits of TISM over ISM, this study is an endeavor to develop insights toward utilization of TISM for modeling inhibitors of SMED. This paper elaborates step-by-step procedure to perform TISM and hence makes it simple for researchers to understand its concepts. To the best of the authors’ knowledge, this is the first study that analyzes the inhibitors of SMED by utilizing TISM approach.
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Yasanur Kayikci, Yigit Kazancoglu, Cisem Lafci, Nazlican Gozacan-Chase and Sachin Kumar Mangla
The coronavirus disease 2019 (COVID-19) pandemic created heavy pressure on firms, by increasing the challenges and disruptions that they have to deal with on being sustainable…
Abstract
Purpose
The coronavirus disease 2019 (COVID-19) pandemic created heavy pressure on firms, by increasing the challenges and disruptions that they have to deal with on being sustainable. For this purpose, it is aimed to reveal the role of the smart circular supply chain (SCSC) and its enablers towards achieving Sustainable Development Goals (SDGs) for post-pandemic preparedness.
Design/methodology/approach
Total interpretive structural modelling and Matrice d'Impacts Croises Multipication Applique' a un Classement (MICMAC) have been applied to analyse the SCSC enablers which are supported by the natural-based resource view in Turkey's food industry. In this context, industry experts working in the food supply chain (meat sector) and academics came together to interpret the result and discuss the enablers that the supply chain experienced during the pandemic for creating a realistic framework for post-pandemic preparedness.
Findings
The results of this study show that “governmental support” and “top management involvement” are the enablers that have the most driving power on other enablers, however, none of them depend on any other enablers.
Originality/value
The identification of the impact and role of enablers in achieving SDGs by combining smart and circular capabilities in the supply chain for the post-pandemic.