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Drawing on the theoretical model of ability–motivation–opportunity (AMO), the author conceptualizes joint learning as the ability, relational capital as motivation and co-production as an opportunity. The purpose of the study is to explore whether joint learning, relational capital and co-production, representing the constituents of the AMO, can enhance customer responsiveness.

The authors explore three possible configurations of the AMO framework, the additive model (primary effect), the combination model (two-way interactions) and the multiplicative model (a three-way interaction). The model is empirically tested by collecting primary data from 149 manufacturers in the information technology industry from Taiwan. In addition, hierarchical regression analysis was performed to test hypotheses.

The findings indicate strong support for the additive model, suggesting that joint learning, relational capital and co-production can enhance customer responsiveness, respectively. Also, the results of this study show strong support for the multiplicative model, indicating that the relationship between joint learning and customer responsiveness is positively significant only when both relational capital and co-production are high.

Suppliers can use the findings from this study to develop their joint learning and understand how joint learning in a buyer–supplier relationship enhances customer responsiveness. Specifically, this study guides firms that seek to understand relational capital and co-production seem to support the effectiveness of joint learning.

This study suggests that although joint learning enhances the ability to engage in customer responsiveness, the suppliers need adequate motivation and opportunity to exploit this ability entirely.

The ease and convenience of online shopping are shifting the customers to e-tailers. This has prompted offline retailers to re-examine behavioural patterns along with a reconfiguration for a responsive retail model. The paper investigates the influence of responsiveness on customer satisfaction, cross-buying behaviour, revisit intention and referral behaviour.

Data were collected via a survey answered by 793 fashion customers from India, and for data analysis, partial least square structural equation modelling (PLS-SEM) was employed. Path analysis was used to determine the interrelationships amongst the constructs used in the study.

The standardized path coefficients depict competitive responsiveness as the highest contributor of retailers' responsiveness followed by service responsiveness, employee responsiveness and customer responsiveness. The findings suggest that customer satisfaction acts as the biggest contributor to referral behaviour followed by cross-buying behaviour and revisit intentions.

This study has made a substantial contribution to fashion apparel retailing. The findings revealed that responsive retailing influences the customers' post-purchase behaviour as they engage in more cross-buying, revisiting and referral behaviour. The retailers are encouraged to carefully monitor their preparedness to deliver a combination of sensory, emotional, cognitive and social experience to their customers.

The literature reports mixed findings on the performance impact of market orientation and a lack of attention to the moderating roles of dyadic competition and firm's age. The purpose of this paper is to explore the relationship between customer responsiveness and performance of industrial firms and to consider the moderators.

Drawing on competitive dynamics literature, a contingency model is developed. Hypotheses were tested on 350 Swedish industrial firms that market clean technology to business customers.

First, the main competitor's cost leadership weakens the positive performance impact of the industrial firm's customer responsiveness. An interpretation would be that it is difficult for product firms to overcome competition based on low costs. Second, the industrial firm's age weakens the positive performance impact of the industrial firm's customer responsiveness. This indicates that the firm's responsiveness advantage diminishes as strategies of competing firms converge.

By adding literature on competitive dynamics the study contributes to theory. The article shows that dyadic competition and firm's age matter for the relationship between customer responsiveness and performance.

The industrial firm may keep an efficient customer responsiveness strategy by reducing its vulnerability to low costs of the main competitor. Also, an ability of developing the content of the firm's responsiveness strategy would favor the strategy uniqueness and efficiency.

The article presents a new model that shows the performance impact of the industrial firm's customer responsiveness, including the moderating roles of the main competitor's competitive strategy and the firm's age. By including the contingencies, the model explains mixed findings in the literature regarding relationships between customer responsiveness and performance.

This paper aims to epistemologically extend and explore the present theories from prior research conducted in the area of responsiveness. Furthermore, it determines to benchmark the prominent theories, characteristics, context and methodologies (TCCM) used in the domain since its inception to advance the science and practice of marketing and logistics discipline.

A seven-step methodology (SSM) has been introduced to create a comprehensive dataset. Based upon the selection criteria of high-ranked journals and language, the research studies have been retrieved from Scopus, Web of Science, Business Source Complete and journal homepage to avoid the error of exclusion. Moreover, the dataset has been compiled using manual and electronic searches without any limitation of time.

The search for a suitable dataset retrieved 642 documents by identifying “1969” as the beginning year of research in the subject domain. The analysis found that responsiveness has been prominently studied in the manufacturing industry. The results also advocate responsiveness as the vital antecedent to performance and satisfaction. Frameworks have been proposed with significant propositions for future empirical testing and theory inventiveness by researchers.

The study pioneers its utility for retailers to recognize the firms' inherent abilities and strengths, which can be promoted to create responsiveness more than ever. The analysis results can act as the compelling force to understand the driving power of various factors influencing responsiveness.

The purpose of this paper is to examine the impact of strategic supplier partnership and customer relationship on supply chain responsiveness and then to analyse the influence of supply chain responsiveness on operational performance in the manufacturing industry in India. In addition to that, this study also investigates the moderating effects of demand uncertainty on the relationship between strategic supplier partnership–supply chain responsiveness and customer relationship–supply chain responsiveness.

A structured self-administered questionnaire was developed to collect data from manufacturing companies in India. This study performed the structural equation modelling and moderated regression for testing the hypotheses after ensuring the validity and reliability of identified constructs.

Strategic supplier partnership and customer relationship positively influence supply chain responsiveness, and supply chain responsiveness also positively impacts operational performance. In addition to that, demand uncertainty negatively moderates the relationship between strategic supplier partnership and supply chain responsiveness. However, demand uncertainty does not significantly affect the relationship between customer relationship and supply chain responsiveness.

Strategic supplier partnership and customer relationship are firstly investigated as antecedents of supply chain responsiveness. To the best of the author’s knowledge, this study is one of the first to examine the moderating effect of demand uncertainty on the relationship between supply chain practices (strategic supplier partnership and customer relationship) and supply chain responsiveness.

The study examines how supply chain responsiveness (logistics process responsiveness, operations systems responsiveness and supplier network responsiveness) impacts the ability of firms to attract, satisfy and retain customers.

Using a quantitative approach, a total of 250 questionnaires were distributed to firms in the Kumasi metropolis in the Ashanti Region of Ghana, with 100 useable responses retrieved. The effect of supply chain responsiveness on customer development was analysed using partial least squares structural equation modelling.

The findings showed that operations systems responsiveness and supplier network responsiveness drive the logistics systems responsiveness of firms as hypothesized. It was also revealed that operations systems responsiveness and logistics process responsiveness enhanced customer development, but supplier network responsiveness did not. Logistics process responsiveness additionally partially mediated the effect of operations systems responsiveness on customer development.

To the best of the researchers' knowledge, no previous studies have empirically examined interrelationships between the dimensions of supply chain responsiveness. Additionally, no previous study has examined the effect of supply chain responsiveness on customer development.

Scanning both the academic and popular business literature of the last 40 years puzzles the alert reader. The variety of prescriptions of how to be successful (effective, performing, etc.) 1 Organizational performance, organizational success and organizational effectiveness will be used interchangeably throughout this paper.1 in business is hardly comprehensible: “Being close to the customer,” Total Quality Management, corporate social responsibility, shareholder value maximization, efficient consumer response, management reward systems or employee involvement programs are but a few of the slogans introduced as means to increase organizational effectiveness. Management scholars have made little effort to integrate the various performance-enhancing strategies or to assess them in an orderly manner.

This study classifies organizational strategies by the importance each strategy attaches to different constituencies in the firm’s environment. A number of researchers divide an organization’s environment into various constituency groups and argue that these groups constitute – as providers and recipients of resources – the basis for organizational survival and well-being. Some theoretical schools argue for the foremost importance of responsiveness to certain constituencies while stakeholder theory calls for a – situation-contingent – balance in these responsiveness levels. Given that maximum responsiveness levels to different groups may be limited by an organization’s resource endowment or even counterbalanced, the need exists for a concurrent assessment of these competing claims by jointly evaluating the effect of the respective behaviors towards constituencies on performance. Thus, this study investigates the competing merits of implementing alternative business philosophies (e.g. balanced versus focused responsiveness to constituencies). Such a concurrent assessment provides a “critical test” of multiple, opposing theories rather than testing the merits of one theory (Carlsmith, Ellsworth & Aronson, 1976).

In the high tolerance level applied for this study (be among the top 80% of the industry) only a handful of organizations managed to sustain such a balanced strategy over the whole observation period. Continuously monitoring stakeholder demands and crafting suitable responsiveness strategies must therefore be a focus of successful business strategies. While such behavior may not be a sufficient explanation for organizational success, it certainly is a necessary one.

Further understanding of how stakeholder marketing explains firm performance through greater customer satisfaction, innovation, and reputation of a firm.

Grounded in stakeholder theory, the study provides a conceptualization of stakeholder orientation based on cultural values that is distinctive from stakeholder responsiveness and examines the relationship of stakeholder responsiveness to firm performance. The study determines the mediating role of marketing outcomes on the impact of stakeholder responsiveness on firm performance. Multiple regression analysis tests hypotheses using a data set consisting of qualitative data obtained from corporate documents and quantitative data from respected secondary sources.

Our findings provide support for stakeholder marketing creating a strong relationship to organizational outcomes. There exists a positive relationship between stakeholder responsiveness and firm performance through customer satisfaction, innovation, and reputation.

Our definition implies that stakeholder responsiveness is acting in the best interests of the stakeholder as a responsible business. This study shows that stakeholder marketing may not always represent socially responsible marketing. Further research could explore how and why firms may not respond ethically and responsibly to stakeholders.

We further the discussion whether stakeholder marketing equates to sustainability. Marketers can build on expertise of managing customer relationship and generating customer value to develop a stakeholder marketing approach that addresses the economic, social, and environmental concerns of multiple stakeholders.

We further the discussion whether stakeholder marketing equates to sustainability. Marketers can build on expertise of managing customer relationship and generating customer value to develop a stakeholder marketing approach that addresses the economic, social, and environmental concerns of multiple stakeholders.

The purpose of this study is to explore the nature of the relationship between export customer responsiveness and export growth.

The study uses primary data obtained by questioning over 200 exporting firms. The model constructed predicts the export growth of those firms with export customer responsiveness data, together with a variety of moderator and control variables. The model is assessed using multiple regression.

Exporters with higher levels of export customer responsiveness often have higher export sales growth rates than those with lower levels of export customer responsiveness, but not always. For some firms, the opposite is true, such that those with lower levels of export customer responsiveness outperform those with higher levels.

The study is the first to provide export decision-makers with empirically grounded recommendations regarding (1) when it is advisable to have high export customer responsiveness levels and (2) those situations when firms may benefit from having lower export customer responsiveness levels.

The purpose of this paper is to answer the question, “How do international new ventures (INVs) from emerging economies become responsive to the demands of their international customers?”

The authors propose a model of international responsiveness that incorporates founding team experience, international firm experience, international strategic orientation, and investment in international supply chain and test the model using data from 293 INVs from three leading emerging economies: China, India, and South Africa.

Results show that for INVs from emerging economies international strategic orientation mediates the relationship between international firm experience, investment in international supply chain, and international responsiveness. In addition, the authors identify a significant difference in the effects of international strategic orientation on international responsiveness among subgroups of INVs.

Given the specific context of the sample, this study provides unique managerial insights for entrepreneurs planning to internationalize their new ventures from emerging economies.

The paper adds originality and value by extending research on international responsiveness, bridging two disciplines, and using a unique international, multi‐country sample.