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Many firms engage customers using coalition loyalty programs. One unique characteristic of these programs is that one partner’s performance can affect the performance of other partners (cross-partner effect). While previous research discusses cross-partner effects from the program sales perspective, the role of point redemptions in cross-partner effects is unknown to marketers. This study aims to investigate this role and discusses its variations among stores of the same chain and those of different chains.

Using the data of a popular coalition loyalty program, this paper estimates an empirical model that accounts for the dynamics of program sales and point redemptions and the heterogeneity among different partners in the program.

Cross-partner effects are different between point redemption and program sales. In particular, program sales (point redemptions) in other stores of different chains positively (negatively) affect the focal store’s point redemptions. However, point redemptions in other stores of the same chain as the focal store positively affect the focal store’s program sales.

Coalition loyalty programs are becoming popular around the globe. This research investigates the cross-partner effects of coalition loyalty programs. This is of immense value to practitioners and researchers alike.

This research gives marketing managers insights into the workings of coalition loyalty programs.

This research contributes to loyalty program literature in three ways. First, it complements the literature by investigating the role of point redemption in cross-partner effects. Second, it discusses cross-partner effects in the competing stores from the same chain of the focal store and those from different chains. Third, it explores the dynamic effects of program sales and point redemptions at other stores on program sales at the focal store.

This paper aims to examine the relationship between the characteristics of strategic decision-making team’s mental model and its performance. The authors propose that the relationship between mental models and performance is two-way, rather than one-way. Thus, performance feedback should, in turn, influence strategic behavior and future performance by either triggering or hindering the learning process.

The authors conduct the research in the setting of a simulation experiment. A longitudinal data set was collected from 36 teams functioning as strategic decision makers over three periods.

This study provides support for the positive impacts of both the complexity and centrality of a team’s mental model on its performance. The authors also find that positive performance feedback reduces changes in complexity and centrality of team mental models due to cognitive inertia.

The study contributes to the literature by investigating the specific mechanisms that underlie mental model evolution. Different from the existing studies on team mental models that mainly focus on similarity of these shared cognitive structures, this study examines another two characteristics of team mental model, complexity and centrality, that are more relevant to the strategic decision-making process but has not been extensively studied in the team literature. In addition, this study reveals that performance feedback has different effects on team mental models depending on the referents – past performance or social comparison – which advances the understanding of the learning effects of performance feedback.

This paper explores how two understudied characteristics of a firm's product portfolio, namely, aging of products and (non)innovativeness of products, affect firm survival. The influence of these product portfolio characteristics on organizational mortality can be observed both at the firm and at the industry levels. Paradoxically, the portfolio's influence at the firm and at the industry levels may go in opposite directions. Specifically, I predict that portfolios with aging products make their firms weaker competitors and survivors. However by weakening these firms, “aging” portfolios reduce competitive pressures at the industry level and, therefore, improve firm survival indirectly by changing industry vital rates. In contrast, firms with innovative product portfolios should be stronger survivors. At the same time, they are likely to intensify competition in the industry and, as a result, diminish survival chances of all firms, including those with innovative products. The analyses of all firms’ product portfolios in the worldwide optical disk drive industry, 1983–1999, support these predictions.

Manufacturers find bottom of the pyramid (BOP) markets challenging to serve due to low margins and highly localized needs. As such, residents in BOP markets often go without products commonly available in developed countries. Going without medical equipment may negatively affect healthcare services. This study develops a supply chain design strategy that supports the production of medical equipment by preserving variety flexibility at low volumes that stands to create new market opportunities for manufacturers and improve healthcare for residents in BOP markets.

The authors introduce a mass-customization model called options-based planning (OBP) which offers a framework to both leverage the efficiencies of high volume production models and provide products that are customized to local market needs. An empirical simulation, grounded in data collected from a large international manufacturer of magnetic resonance imaging (MRI) equipment, illustrates how an OBP production strategy will likely perform under BOP conditions and facilitate the delivery of healthcare equipment to BOP markets.

OBP provides a means for manufacturers to provide the customization necessary to serve fragmented BOP markets, while enabling higher production volume to make serving these markets more feasible. The empirical simulation reveals the relative benefits of OBP under conditions of forecast uncertainty, product complexity (number of design parameters) and different levels of responsiveness.

Increased access to modern medical equipment should improve healthcare outcomes for consumers in BOP markets.

The MRI context in BOP markets serves to illustrate the value of the OBP model for manufacturers.

The purpose of this paper is to examine how consumers’ value evaluation and personality factors influence consumers’ intention to adopt mobile coupon (M-coupon) applications in China. The moderating effect of gender on the relationships between personality factors and consumers’ adoption intention is also tested.

This study conducted a survey to collect data from M-coupon application users. In total, 271 valid responses were analyzed using structural equation modeling (SEM) technology.

The results indicate that perceived value, personal innovativeness, and coupon proneness positively affect consumers’ acceptance of M-coupon applications. Personal innovativeness has more positive impact on behavioral intention for males than for females. However, the differential effects of coupon proneness on behavioral intention are not significant between males and females. In addition, the findings show that perceived convenience, perceived enjoyment, and perceived money savings positively influence perceived value, whereas perceived fees and perceived privacy risk negatively influence it.

This study helps M-coupon application providers to identify who is positive toward their services and how to improve consumers’ perceived value of the services, eventually expanding their user base.

Prior studies mainly focussed on the usage behavior of M-coupons and overlooked the important role of M-coupon applications in promoting M-coupon use. This research fills this gap. The research findings offer insights into the factors influencing consumers’ behavioral intention to adopt M-coupon applications. Besides, the results of gender’s moderating effect advance the understanding of the differences in males’ coupon usage intentions between the contexts of M-coupon applications and paper-based coupon services, which enrich couponing research.

The sharp increase in interest in social networks among marketing scholars and practitioners has coincided with the rapid proliferation of social networks among broader populations. Considering the substantial body of research that has emerged, it is an opportune time to reflect on the state of social network research (SNR) in marketing. Therefore, this chapter reviews recent marketing research, organized according to substantive areas of interest, followed by a discussion of critical dimensions of SNR for researchers, including network actor characteristics, modes, boundaries, impacts, and mechanisms, as well as the relevant level of analysis. By documenting how SNR can inform marketing decisions and influence marketing outcomes, this study also establishes recommendations for research to advance the state of SNR in marketing. A 2 × 2 classification schema reveals four categories that might guide scholars' choices of research designs, theories, constructs, and measures for SNR.

This paper aims to examine the direct impacts of marketing resources and marketing activities on several business performance indicators in the banking industry and the indirect effects through customer-based brand equity.

We use a holistic empirical approach based on resource-based view and marketing productivity chain. The main study consists of a secondary analysis using quarterly data of fourteen banks over four years. We analyze the data using fixed-effect panel data regression, namely seemingly unrelated regressions.

We find that customer-based brand equity is one of the most influential factors on business performance. Moreover, the indirect effect through customer-based brand equity should be considered in improving business performance. Marketing-related financial resources positively impact customer-based brand equity and business performance. Regarding marketing activities, pricing strategies affect the bank preferences of customers, which in turn affect the growth of deposit volumes and churn rates. Additionally, the number of bank branches positively impacts business performance. Advertising spending on different media has differentiated impacts on the performance indicators; thus, the allocation of advertising budget and advertising planning are critical.

This study examines the inter-relationships among marketing resources, marketing activities, consumer response through brand equity and marketing performance. This study contributes to the literature by integrating the resource-based view and the marketing productivity chain to analyze the inter-relationships using panel data and several sector-related metrics. This study provides valuable insights to decision-makers in the banking industry.

The purpose of this study is to identify customer-specific differences in a general model of e-loyalty taking into account the existence of unobserved heterogeneity. Specifically, this paper aims to test for the presence of customer heterogeneity; assess the impact of potential bias when there is no control for heterogeneity; analyse the distinct customer segments that emerge from the empirical estimation of the model; and describe the segments by their demographic and psychological characteristics.

Panel data from a survey of online shoppers are used in a post hoc segmentation method, which will enable us to identify segments, while estimating the parameters by means of structural equation models.

Three distinct consumer segments emerge. The relative importance of e-loyalty and e-satisfaction is significantly determined by consumers’ shopping styles.

This study highlights the need to consider unobserved customer heterogeneity when attempting to explain satisfaction and loyalty development processes in the retail context in general and e-commerce in particular. To the authors’ knowledge, this is the first time this approach has been used to analyse the impact of customer heterogeneity on e-satisfaction and e-loyalty.

Improving food security at the household level is very crucial in India as here many people are suffering from persistent hunger and malnutrition. In India, mounting pressure of population, adverse threats of climate change, fragmented land holding, high input cost etc. are very important which prevent to ensure food security. In India, there is malnutrition in all age groups, especially among children. Problem of low birth weight due to undernutrition of mother during pregnancy and underweight of children is very common in the country. The purchasing power of certain section of the society is so low that they cannot access food at the market price. They need the safety net of food subsidy. In India, food problem in the normative sense still continues to exist as millions of poor suffer from persistent hunger and malnutrition. This is the task to which food security system must address itself in future. There are some important factors which can increase yield growth and domestic supply of food substantially. Among these factors education and knowledge regarding improving farm efficiency, provision of an improved agricultural technology to the farmers, delivery of modern farm inputs, technical know-how, institutional credit to the farmers, and crop diversification are very essential to build a huge stock of food grains in India. Educated and trained people can acquire new skills and technologies required for growing agricultural output to meet the domestic demand.

To provide an overview of research published in the management accounting literature on methods for cost management in new product development, such as a target costing, life cycle costing, component commonality, and modular design.

The structured literature search covered papers about 15 different cost management methods published in 40 journals in the period 1990–2013.

The search yielded a sample of 113 different papers. Many contained information about more than one method, and this yielded 149 references to specific methods. The number of references varied strongly per cost management method and per journal. Target costing has received by far the most attention in the publications in our sample; modular design, component commonality, and life cycle costing were ranked second and joint third. Most references were published in Management Science; Management Accounting Research; and Accounting, Organizations and Society. The results were strongly influenced by Management Science and Decision Science, because cost management methods with an engineering background were published above average in these two journals (design for manufacturing, component commonality, modular design, and product platforms) while other topics were published below average in these two journals.

The scope of this review is accounting research. Future work could review the research on cost management methods in new product development published outside accounting.

The paper centers on methods for cost management, which complements reviews that focused on theoretical constructs of management accounting information and its use.