Search results

This study aims to establish that the relationship between the risky indebtedness behavior (RIB) of consumers and their attitude toward adopting buy-now-pay-later (BNPL) is not immediate but is mediated through impulse buying. Moreover, it explores how perceived risk moderates the association between the attitude to adopt BNPL and its adoption intention.

This study used the existing theoretical and empirical evidence to propose a model and validated it using the data collected from 339 young shoppers in India. Analysis of data is conducted using partial least squares structural equation modeling.

The study results show that consumers’ RIB is not directly related to their attitude toward BNPL. However, impulse buying fully mediates this relationship, influencing the attitude toward BNPL. Impulse buying and attitude serially mediate the relationship between RIB and BNPL adoption intention. Further, in the context of BNPL, perceived risk strengthens the attitude-intention gap.

This study advises policymakers and BNPL providers to carefully assess users’ creditworthiness to prevent those already in debt from entering into a detrimental loop.

This study provides novel perspectives on consumer’s RIB and BNPL within the Indian context. The study additionally identifies the mediating influence of impulse buying and the moderating effect of perceived risk on BNPL adoption intention.

Microcapsule-embedded autonomic healing materials have the ability to repair microcracks when they come into contact with the crack by releasing the healing agent. The microcapsules with specific shape and thickness effect in releasing healing agent to the cracked surfaces. Thus, the purpose of this paper is to know the load bearing capacity of the self-healing microcapsules and the stresses developed in the material.

In the present study, self-healing microcapsule is modelled and integrated with the polymer matrix composite. The aim of the present study is to investigate failure criteria of Poly (methyl methacrylate) microcapsules by varying the shell thickness, capsule diameter and loading conditions. The strength of the capsule is evaluated by keeping the shell thickness as constant and varying the capsule diameter. Uniformly distributed pressure loads were applied on the capsule-reinforced polymer matrix composite to assess the failure strength of capsules and composite.

It is observed from the results that the load required to break the capsules is increasing with the increase in capsule diameter. The failure strength of microcapsule with 100 µm diameter and 5 µm thickness is observed as 255 MPa. For an applied load range of 40–160 N/mm² on the capsules embedded composite, the maximum stress developed in the capsules is observed as 308 MPa.

Failure strengths of microcapsules and stresses developed in the microcapsule-reinforced polymer composites were evaluated.

The purpose of this paper is to study the price decisions and profits of two firms in a competitive market in which one platform firm considers whether to adopt a consumer customization strategy.

This study develops the consumer’s utility function, which captures consumers’ behavioural and emotional factors in the self-customizing process, and it adopts a game theory approach to analyze the equilibrium price and equilibrium profit for each firm.

The results show that increased sensitivity in consumer customization might not benefit the platform, especially when the size of the consumer group deriving positive additional utility from the self-customizing process is small. Interestingly, if the consumer customization sensitivity is high, increasing sensitivity can benefit both firms by relaxing competition between them, while it can hurt consumer surplus. The study also further identifies the conditions under which platforms can adopt a consumer customization strategy.

Two major limitations of the study are that the model does not involve price discrimination or explore the value of adopting a consumer customization strategy in a vertically differentiated market.

This study offers managerial insights for the platforms that intend to invest in a consumer customization strategy, including providing a more simple, more efficient self-customizing process for consumers; empowering consumers to broadcast their creations to a large network by social media technologies; addressing how to determine what consumers really need and want; and so on.

Little research has been performed to analyze the impacts of adopting a consumer customization strategy on pricing decisions in a duopoly market by capturing consumers’ behavioural and emotional factors. While this study explores the above research issue, it also illustrates the effect of the adoption of a consumer customization strategy from a consumer surplus perspective.

The purpose of the study is to establish the relationship of customer orientation (CO) with internal organizational variable like transformational leadership fostering acceptance of group goals (TLFAGG), organizational citizenship behavior conscientiousness (OCBC), empowerment competence (EC) and organizational commitment (OC).

The study was conducted by a structured survey questionnaire on 398 managers related to marketing function in India, employed in both private and public sector firms. The data were analyzed using SPSS 20 and AMOS 18 for structured equation modeling.

The results of the study indicated that the exogenous variables were TLFAGG and OCBC. The intervening variables were EC and OC. The endogenous variable was CO. TLFAGG showed significant positive relationship with EC and OC and CO. OCBC had significant positive relationship with EC and OC and CO. EC was found to have significant positive relationship with CO. OC has significant positive relationship with CO.

This is one of the first studies developing a model involving CO with two internal organizational exogenous variables TLFAGG and OCBC. The model also had two intervening organizational variables EC and OC.

Human resource managers involved in bringing CO culture especially in emerging economies can take the inputs from this study to engineer elements of TLFAGG, OCBC, EC and OC amongst the employees.

In the context of emerging economy markets, the model developed on CO relating it with TLFAGG, OCBC, EC and OC is one of the foremost studies.

This paper aims to study whether international niche market leaders (INMLs) gained their leading position as early mover or diligent follower, and assess whether they leveraged hard or soft forms of technological, supply pre-emption and customer lock-in advantage mechanisms.

Empirical material stems from qualitative and quantitative data on a sample of 20 niche companies from the Basque Country (Spain) that operate in business to business markets.

The sample predominantly followed an early entrant strategy and applied soft measures to reach niche market leadership.

Findings imply that early entering fosters conquering leadership in niche markets, that pioneer advantage is easier to sustain in niches than in mainstream markets, and that soft measures are more effective in niche markets than in larger markets. A limitation to our findings is that they follow from explorative research on a sample of firms from a reduced geographic setting.

Hidden champions and INMLs can be important sources of technological progress and economic value for the localities that host them. Therefore, despite their traditional low profile and the fact that they are not always the largest firms around, policymakers may want to pay more attention to this type of companies.

Tot he best of the authors’ knowledge, this is the first paper to research entry timing and its outcome for market leadership with regard to niche players or hidden champions-type of firms. It introduces an original taxonomy to operationalize and distinguish between hard and soft measures to leverage advantage mechanisms related to market entry timing.

Customization, a marketing strategy through providing personalized products, might be a new solution to motivate consumer feedbacks in electronic commerce (e-commerce) websites. Taking the dual-value of customization (emotional involvement and uniqueness expression) as the theoretical basis, this study aims to investigate the impact of customization on consumer's word-of-mouth (WOM) behaviors and contents by motivating: (1) more, (2) faster, (3) positive at first and then negative, (4) longer and (5) more helpful WOMs.

A field study was conducted with multi-sourced data: customer order data from a Chinese retailer and WOM data from Amazon.com. The two datasets were matched to filter out 463 online reviews among 6,892 customers who placed customized orders. Heckman's two-stage model, logistic regression, Ordinary least squares regression, Tobit regression, analysis of covariance and Lind–Mehlum U Test were used in the data analysis.

This study has found that (1) customization level motivates WOM behaviors including WOM posting and WOM speed, (2) an inverted U-shaped relationship exists between customization level and consumer rating and (3) customization level has a significantly positive impact on WOM helpfulness but not on WOM length.

This study advances theoretical development in the area of WOM motivators by proposing a new product-centric approach, customization, to stimulate voluntary WOMs. Empirical field research that analyzes consumer's real responses to customization is in scarcity. The dual-value of customized products is proposed as the underlying mechanism to explain the impact of customization level on consumer's WOM behaviors/contents. An interesting inverted U-shaped relationship is found between customization level and customer rating. This research provides nuanced practical guidance for websites, companies and consumers.

The purpose of this paper is to examine the use of technology in customer relationship management (CRM) support capabilities by using an environmental contingency perspective. By examining the moderating effects of micro- and macro-environmental characteristics in which CRM support capabilities are used, the authors seek to extend the literature on CRM technology effectiveness in both customer commitment and overall firm performance. The authors also seek to advance managerial knowledge about CRM support capability technology utilization strategies in various market offering and dynamic market settings.

The authors utilized a questionnaire to collect data from a sample of 276 small business CRM managers across a wide range of industries. Measures were adapted from the existing literature, and these were largely multiple-item measures of latent variables. The hypotheses were tested using a combination of Ridge regression and a bootstrapping test of mediation. In addition, residual centering was used to reduce multi-collinearity in the interaction analysis.

The contingency/fit analysis performed in this research highlights the complex nature of the use of technology in CRM support capabilities. The benefits of a man vs a machine CRM support capability depend on the support function (whether marketing, sales, service, data access or data analysis), as well as upon the characteristics of the operating environment. Machine-based marketing support is positively related with customer commitment in turbulent markets, and machine-based service support is preferred in technologically turbulent markets. Sales support, on the other hand, is positively related to customer commitment in technologically turbulent markets when performed by man rather than machine.

CRM support capabilities differ across firms and markets, thus a “one size fits all” approach is not appropriate. This research shows under what conditions a machine-based approach to CRM can be effective for small businesses.

This research is the first to consider market offering and turbulence variables as moderators of the relationship between technology use in CRM support capabilities and customer commitment. Taking this contingency approach, the authors find that resource-based competitive advantage is obtainable based on the fit of the resources (e.g. CRM capabilities) to the environmental characteristics of the firm. Through this perspective that is unique to CRM research, the authors are able to provide both general and specific recommendations to managers and researchers.

The purpose of this study is to analyze the problem of optimal product line design in marketing channels where consumers are heterogeneous in both horizontal and vertical dimensions.

This paper develops a model to evaluate when it is preferable for a firm to extend the product line in a vertical or horizontal direction. Consumers are modeled as being vertically heterogeneous with respect to their valuation of quality and horizontally heterogeneous with respect to their preference on the esthetic component of the product. These model characteristics allow us to consider a broader set of product line extension strategies. By considering both a vertically integrated channel and a decentralized channel, this study investigates how channel structure influences optimal product line design. The problem with supplemental numerical analyses is mathematically analyzed.

The analysis shows that a horizontal product line extension strategy that offers the customized product can be used as an alternative to a vertical product line extension strategy. If the fixed cost is not too high, offering the customized product with low quality may be preferred to the quality-based segmentation strategy. Furthermore, the analysis shows that the channel structure is influential as the preference for the horizontal product line extension strategy is more pronounced in the decentralized channel than in the centralized channel.

The analysis presented in this paper is limited by the consideration of full market coverage. Further research is needed to see how the results can be generalized to the case with partial market coverage.

The analysis suggests that a firm may consider product customization as part of its product line strategy. Information regarding market characteristics and channel structure is important when deciding on the optimal product line design.

The model reflects a more realistic marketing strategy and channel structure than previous studies that typically consider product line extension in only one direction and focus on the centralized distribution channel. Combining the standard product line extension and customization strategies also represents an important contribution to the literature. These extensions produce interesting new results and insights into a firm’s optimal product line design strategy.

The decision concerning the degree of product and service customization is crucial, yet has scarcely been studied for small businesses in business-to-business (B2B) contexts. Although such a decision allows relationships with potential customers to be strengthened, it might involve high opportunity costs given the investment required. This paper aims to analyse the profitability of customization undertaken by small businesses in terms of cost–benefit and examine the drivers of profitable customized projects vis-à-vis the ability to strengthen relationships with clients (relationship investment and customer involvement) and the firm’s resources related to processes and technology (expertise and modularity).

To test the proposed hypotheses, data were collected from 140 small Spanish firms involved in two sectors characterized by the offer of customized solutions: information and professional, scientific and technical services.

Analysis reveals that customer involvement in the customized solution, even when it requires investing in equipment, time or human resources has a positive effect on customization and ultimately on profitability, as the cost of this customer interaction is lower than the revenue it provides. Likewise, supplier investment in the relationship allows for a solution that is adapted to the client, although it requires a cost associated with investing in specific assets. Such costs cancel out the positive indirect effect through the customized solution. Finally, expertise enables appropriate use of the flexibility derived from modularity to satisfy customer requirements, with both being key company resources for driving profitability through customized solutions.

This study makes a contribution to the domain of customization. The authors extend current knowledge on B2B customization by proving that small firms can use their available capabilities and knowledge to achieve a successful customization strategy.

Artificial neural network (ANN) models, part of the discipline of machine learning and artificial intelligence, are becoming more popular in the marketing literature and in marketing practice. This paper aims to provide a series of tests between ANN models and competing predictive models.

A total of 46 pairs of models were evaluated in an objective model-building environment. Either logistic regression or multiple regression models were developed and then were compared to ANN models using the same set of input variables. Three sets of B2B data were used to test the models. Emphasis also was placed on evaluating small samples.

ANN models tend to generate model predictions that are more accurate or the same as logistic regression models. However, when ANN models are compared to multiple regression models, the results are mixed. For small sample sizes, the modeling results are the same as for larger samples.

Like all marketing research, this application is limited by the methods and the data used to conduct the research. The findings strongly suggest that, because of their predictive accuracy, ANN models will have an important role in the future of B2B marketing research and model-building applications.

ANN models should be carefully considered for potential use in marketing research and model-building applications by B2B academics and practitioners alike.

The research contributes to the B2B marketing literature by providing a more rigorous test on ANN models using B2B data than has been conducted before.