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Business internationalization into emerging markets.

BA Level.

On March 23, 2014, Yves, Patrick and Pascal were on their flight back from Udaipur, India, to Zurich, Switzerland thinking about all the experiences they had during the last 12 months and especially in the last three weeks when they visited India to do the feasibility study for their water shop concept. They still had many questions that were unanswered before leaving India. Do they have the sufficient Indian contextual knowledge and expertise to run a business? Are they considering all relevant aspects to successfully establish a water shop in rural India? Have they developed the conducive mindset? Are they ready to leave their comfort zone, friends and family behind to embark on an once-in-a-lifetime adventure? Do they have enough social capital to assist them in the process of setting up the water shop? Shortly before landing at Zurich airport, Yves knew that they now either had to become serious and really spend at least a year in India to turn their concept of a water shop into reality or stay back in Europe starting with their masters studies. The case offers a true story about three BSc students that decided to evaluate whether they could implement a business opportunity that they had identified during a “Doing Business in India” course at their university and subsequently developed into a serious business case. Based on this situation, the case study offers the opportunity for students to better understand what it takes to create the right mindset (i.e. “Triple I” mindset) before actually implementing a market entry or expansion project in India.

The case focuses on teaching the “Triple I” mindset to discuss the prerequisites of a successful market entry or expansion in India: investment mindset, intercultural mindset and infrastructure mindset The case study also highlights the importance of networks and networking locally (i.e. building social capital) as a prerequisite for a successful market entry or expansion. This approach including the “Triple I” mindset, the role of social capital as well as the actual market entry or expansion project is summarized in a metaphor that we call the “Archimedes’ Screw of Internationalization”. The case study proposes to work on the following five assignment questions to drive the intended learning objectives by discussing the different prerequisites of a successful market entry or expansion in India.

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CSS: 5: International business.

Retail stores are required to provide a stimulating in-store experience for customers and do this by developing various strategies. One strategy implemented by retailers is the use of sensory cues to encourage consumers to engage with the environment and the products on display and available for purchase. Conducted in a lighting department, the purpose of this paper is to consider how retailers can employ a multisensory cue, which is formed by combining three single cues to positively impact consumer behaviours – specifically time spent, touching and purchase.

The study comprised an experimental design, which implemented single congruent visual, auditory and olfactory cues that formed a multisensory cue. Consumer behaviour outcomes of these cues were measured using objective measures.

The results show that a multisensory cue impacts time spent and purchasing, but no evidence of it affecting touching was noted. In the case of the single cues, auditory and scent cues impacted time spent, but their effect was not to the extent of the multisensory cue, which was superior.

The study focussed on one product category within a general furnishing store, thus limiting the extent to which the findings can be generalised.

The effect of a multisensory cue exceeded that of single cues, emphasising the need for retailers to consider and develop a multisensory retail environment.

While research into the effect of single cues on consumer behaviours has shown positive effects, research into a multisensory cue, especially in a real-retail setting, is relatively scarce.

The purpose of this paper is to examine the influence of magnetic field on Williamson nanofluid embedded in a porous medium in the presence of non-uniform heat source/sink, chemical reaction and thermal radiation effects.

The governing physical problem is presented using the traditional Navier–Stokes theory. Consequential system of equations is transformed into a set of non-linear ordinary differential equations by means of scaling group of transformation, which are solved using the Runge–Kutta–Fehlberg method.

The working fluid is examined for several sundry parameters graphically and in a tabular form. It is noticed that with an increase in Eckert number, there is an increase in velocity and temperature along with a decrease in shear stress and heat transfer rate.

A good agreement of the present results has been observed by comparing with the existing literature results.

The purpose of this paper is to contribute to the limited body of empirical knowledge on the impact of Lean Six Sigma (LSS) program implementations on organizational performance in financial services by investigating how antecedents of Lean Six Sigma program success (motivations, selected LSS methods and challenges) affect organizational performance enhancement via LSS program performance.

A sample of 198 LSS professionals from 7 countries are surveyed. Structural equation modeling (SEM) is performed to test the questioned relations.

This study’s findings comprise: (1) LSS program performance partially mediates the relationship between motivations for LSS implementation and organizational performance, (2) selected LSS method applications has a fully (mediated) indirect impact on organizational performance, (3) LSS implementation challenges also have an indirect (mediated) impact on organizational performance and (4) LSS program performance has a positive impact on organizational performance.

The findings of this research predominantly provide nuances and details about LSS implementation antecedents and effects, useful for managers in advising their business leaders about the prerequisites and potential operational and financial benefits of LSS implementation. Furthermore, the paper provides evidence and details about the relationship between important antecedents for LSS implementation identified in existing literature and their impact on organizational performance in services. Thereby, this research is the first in providing empirical, cross-sectional, evidence for the antecedents and effects of LSS program implementations in financial services.

There have been significant developments in the field of retailing with digitalization. One of these developments is the emergence of omnichannel retailing. Although this has affected both firms and consumers considerably, the literature is dominated by the studies dealing with omnichannel retailing from the firms’ perspectives. The studies dealing with omnichannel retailing from the consumers’ perspectives have recently begun to attract the attention of researchers. For this reason, this study conducted a literature review to examine various consumer behaviors mentioned in the studies aimed at explaining consumer behaviors in the omnichannel retailing context. The distribution of these studies according to years and journals, research methods used, theories adopted, and the related five-stage consumer decision-making stages are summarized. Additionally, this review addresses future research avenues.

The purpose of this paper is to present different naming, packaging, and pricing strategies adopted by private label (PL) retailers in India. This study also aims to identify preferred private label brand (PLB) categories, factors influencing their selection, and the importance of cues in evaluation of PLBs. The overall purpose is to identify important areas for future research of PLBs in the wake of organized retail growth in an emerging economy (India is the context here).

This study is based on in-store observations of major Indian retail chains, longitudinal analyses of customers’ shopping bills, qualitative analyses of consumer interviews, and focus group discussions.

The results indicate that retailers primarily adopt “Sub-branding” (using the store name along with a separate brand name) and “House of Brands” (using a separate brand name only) strategies to sell PLBs in the Indian market. Groceries, food and beverages, and apparel are the preferred categories in PLB. Price, quality, and convenience are the major factors influencing PLB. Taste, ingredients, packaging, price, brand name, and store name are the main factors that are used to evaluate PLBs.

Due to the qualitative analyses and interpretation, there are limitations to this study which need to be empirically validated.

This research has implications for organized retailers in understanding the various strategies used for PLBs in India.

This study is a novel study for documenting the PLB strategies adopted by organized retailers in India. It also uses a longitudinal exploratory approach to further understanding the consumption of PLBs in India.

The authors investigate the manufacturer's choice of discount schemes in a supply chain with competing retailers.

Using a game-theoretic model, the authors build two discount frameworks and compare and analyze the effects of different discount schemes on the performance of supply chain members.

The authors find that the retail price (market demand) in the quantity discount scheme is always higher (lower) than that in the market share discount scheme. The authors also find that the retailers' preference for discount schemes is antithetical to the manufacturer's preference in most cases. However, under certain conditions, there will be a win-win situation where Pareto-optimization occurs between the manufacturer and retailers when they choose the same discount scheme.

On the one hand, the authors assume that the two retailers are symmetrical in market size and operation efficiency. It would be interesting to study the effect of different discount schemes on retailers when the retailers have different market sizes or operating efficiency. On the other hand, the authors study the manufacturer's choice of discount schemes in a supply chain with one common manufacturer and two competing retailers. However, in practice, there exist other supply chain structures. Future research can examine the problem of choices of discount schemes in other different supply chain structures.

This paper help retailers and manufacturers to choose the best discount schemes.

This paper suggests that a high discount scale is not always beneficial (detrimental) to retailers (the manufacture).

The authors build two discount schemes (the quantity and the market share) in a supply chain consisting of one manufacturer and two retailers, and the authors focus on the effects of different discount schemes on the competition between two retailers. By comparing the two discount schemes, the authors study which discount scheme is the better choice for the manufacturer when facing competing retailers.

This paper aims to study the interplay between a risk-averse national brand manufacturer's (NBM) selling mode decision and a risk-neutral e-platform's private brand (PB) introduction decision.

A game theory model is used to solve selling mode decision, that is whether transform the selling mode from the wholesale mode to the marketplace mode, and PB introduction decision, that is, whether introduce the PB.

The results show that for the NBM, under certain condition, the NBM's selling mode decision is not affected by the e-platform's PB introduction decision. High revenue-sharing rate is conducive only when the difference in consumer preference between the PB and the national brand (NB) is small. The NBM's risk aversion will improve the applicability of the marketplace mode. For the e-platform, high PB preference of consumers and risk-averse behavior of the NBM is not conducive to PB introduction. For the supply chain, scenarios that the NB monopolizes the market under the wholesale mode and PB introduction under the marketplace mode should be prevented. PB introduction under the wholesale mode will become the only equilibrium with the increase of risk aversion of the NBM. Finally, the authors extend the scenario that consumers prefer the PB and the e-platform is risk-averse enterprise and find that PB introduction under the wholesale mode is detrimental to the NBM but beneficial to the supply chain. The impact of consumers' PB preference on the e-platform's PB introduction is opposite to the basic model. The impact of the e-platform's risk aversion on game equilibrium is opposite to that of the NBM's risk aversion.

This paper is first to study selling mode decision and PB introduction decision when considering enterprises' risk-averse attitude.

Gene selection is considered as the fundamental process in the bioinformatics field. The existing methodologies pertain to cancer classification are mostly clinical basis, and its diagnosis capability is limited. Nowadays, the significant problems of cancer diagnosis are solved by the utilization of gene expression data. The researchers have been introducing many possibilities to diagnose cancer appropriately and effectively. This paper aims to develop the cancer data classification using gene expression data.

The proposed classification model involves three main phases: “(1) Feature extraction, (2) Optimal Feature Selection and (3) Classification”. Initially, five benchmark gene expression datasets are collected. From the collected gene expression data, the feature extraction is performed. To diminish the length of the feature vectors, optimal feature selection is performed, for which a new meta-heuristic algorithm termed as quantum-inspired immune clone optimization algorithm (QICO) is used. Once the relevant features are selected, the classification is performed by a deep learning model called recurrent neural network (RNN). Finally, the experimental analysis reveals that the proposed QICO-based feature selection model outperforms the other heuristic-based feature selection and optimized RNN outperforms the other machine learning methods.

The proposed QICO-RNN is acquiring the best outcomes at any learning percentage. On considering the learning percentage 85, the accuracy of the proposed QICO-RNN was 3.2% excellent than RNN, 4.3% excellent than RF, 3.8% excellent than NB and 2.1% excellent than KNN for Dataset 1. For Dataset 2, at learning percentage 35, the accuracy of the proposed QICO-RNN was 13.3% exclusive than RNN, 8.9% exclusive than RF and 14.8% exclusive than NB and KNN. Hence, the developed QICO algorithm is performing well in classifying the cancer data using gene expression data accurately.

This paper introduces a new optimal feature selection model using QICO and QICO-based RNN for effective classification of cancer data using gene expression data. This is the first work that utilizes an optimal feature selection model using QICO and QICO-RNN for effective classification of cancer data using gene expression data.

This study aims to examine how fairness concerns and power structure in dyadic green supply chains impact retail price, supply chain profits and greening level decisions.

This study develops game-theoretic models considering fairness concerns and asymmetric power structures under an iso-elastic demand setting. The research paper employs the Stackelberg game approach, taking into consideration the fairness concern of the channel leader.

The findings indicate that under fairness, there is an increase in both wholesale and retail prices, as well as greening expenditures. Notably, when comparing the two models (manufacturer Stackelberg and retailer Stackelberg), double marginalization is more pronounced in the retailer Stackelberg setup than in the manufacturer Stackelberg setup. In a traditional supply chain with iso-elastic demand, the follower typically extracts higher profit compared to the leader; however, our results show that, under fairness conditions, the leader achieves higher profit than the follower. Additionally, our study suggests that supply chain coordination is unattainable in a fairness setup. This paper provides insights for managers on the optimal supply chain structure and the level of fairness to maximize profit.

This paper investigates the impact of a leader's fairness on the optimal decisions within a green supply chain, an area that has received limited attention previously. Additionally, the study investigates how fairness concerns manifest in distinct power dynamics, specifically, in the contexts of manufacturer Stackelberg and retailer Stackelberg.