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Product discounts have been widely applied in digital commerce as a method to attract and retain customers to purchase in China. Given that digital channels differ in their attributes, customers may behave differently when they respond to the same discount across channels. However, little attention has been paid to explore the heterogeneity of customer responses to discounts across channels. This study aims to fill in the gap by exploring how customers’ purchase responses to price discounts differ across digital channels.

This study applies a Poisson regression to an unbalanced data set of purchasing history from Chinese footwear brands with 3,510 customers in a two-year time window across the three digital channels (i.e. personal computer [PC], app and mobile website), with a correction for endogeneity by using the Gaussian copula method.

This paper finds that price discounts have the strongest positive effect on consumers’ purchase volumes on the PC channel, followed by the app channel, while discounts show the weakest impact in the mobile website channel. By so, this paper demonstrates that customers respond differently to online and mobile channels, and they also respond differently within mobile channels when they purchase products with price discounts.

This study is original in analyzing the difference in customers’ discount responses across digital channels, offering valuable contributions to existing research on multichannel marketing as well as mobile marketing and providing helpful insights for multichannel merchants to design digital discount strategies.

This paper aims to focus on addressing endogeneity using instrument-free methods. The authors discuss some extensions to well-known techniques.

This paper discusses some attractive methods to address endogeneity without the need for instruments. The methods are labeled are “harmless” in the sense that instruments are not needed and the distributional assumptions are kept to a minimum or they are replaced by more flexible semi-parametric assumptions.

Using a hospitality application, the authors provide evidence about the effectiveness of these techniques and provide directions for their implementation.

Finding valid instruments has always been a key challenge for researchers in the field. This paper discusses and introduces methods that free researchers from the need to find instruments.

The paper discusses techniques that are introduced from the first time in the tourism literature.

This paper aims to foster a new discussion on endogeneity in hospitality and tourism research.

This paper elaborates on some of the common sources of endogeneity and the methods available to address them.

The authors present a variety of methods that can be used to mitigate the endogeneity problem. The authors provide simulation evidence regarding the risk of incorrectly selecting instrumental variables. The authors also provide several important practical recommendations for future research.

There are other issues and methods of correcting for endogeneity, that is not covered in this paper. However, the paper focuses on issues and methods that can be generalized to most contexts.

The paper provides practical recommendations for more rigorous regression estimation.

The first research objective is to understand the role of digital [artificial intelligence (AI)] technologies on user engagement and conversion that has resulted in high online activities and increased online sales in current times in India. In addition, combined with changes such as social distancing and lockdown due to the COVID-19 pandemic, digital disruption has largely impacted the old ways of communication both at the individual and organizational levels, ultimately resulting in prominent social change. While interacting in the virtual world, this change is more noticeable. Therefore, the second research objective is to examine if a satisfying experience during online shopping leads to repurchase intention.

Using primary data collected from consumers in a developing economy (India), we tested the theoretical model to further extend the theoretical debate in consumer research.

This study empirically tests and further establishes that deploying AI technologies have a positive relationship with user engagement and conversion. Further, conversion leads to satisfying user experience. Finally, the relationship between satisfying user experience and repurchase intention is also found to be significant.

The uniqueness of this study is that it tests few key relationships related to user engagement during this uncertain period (COVID-19 pandemic) and examines the underlying mechanism which leads to increase in online sales.

This paper aims to examine how interfirm transactional and relational assets drive firm performance (FP) in digitally integrated supply chains.

The authors combine the Transaction Cost Economics (TCE) and Relational Exchange Theory (RET) frameworks to hypothesize that FP will be a function of Asset Specificity (AS), Digital Technology Usage (DTU) and Collaborative Information Sharing (CIS). In addition, the authors hypothesize that Supply Chain Integration (SCI) will partially mediate the effect of DTU and fully mediate the impact of AS and CIS on FP. A cross-sectional survey of supply chain managers is used to test the hypotheses.

Findings indicate that specific investments in digitally integrated supply chains would increase FP. In addition, SCI fully mediates the relationships between AS and FP and CIS and FP, while SCI partially mediates the influence of DTU on FP.

Managers could strategically engage in the technologies that effectively fit within the firm’s supply chain strategies and seek to develop a pragmatic expertise that enables the effective use of technology in a comprehensive setting.

The study enriches the extant literature by incorporating TCE and RET as contradictory viewpoints on AS and investigating how transactional and relational assets affect FP in digitally integrated supply chains.

The purpose of this study is to analyze the effect on movie performance of the breadth and depth of consumer groups targeted by movies and to analyze the ways in which electronic word-of-mouth (eWOM) mediates these relationships.

For empirical analysis, 45 days of sales and eWOM data for 63 movies released in Korea in 2017 were collected, and a panel regression analysis was conducted on a total of 2,835 data items. In addition, the analysis was rigorously verified through three robustness tests.

The breadth and depth of consumer groups targeted by movies have a non-linear relationship with sales, and this relationship is mediated by the eWOM performance of social media websites. In addition, eWOM performance has a non-linear relationship with sales, and these effects differ depending on the type of eWOM platform involved.

The effects of the breadth and depth of the consumer groups targeted by movies on eWOM performance and movie performance have not been sufficiently investigated. This paper expands on previous studies that reported a linear relationship between eWOM and sales by finding that the effects of consumer group breadth and depth on sales are not linear in terms of the mediation of eWOM performance. In addition, a new research direction is suggested by conceptualizing consumer group breadth and depth using eWOM data, on which basis the new concept of eWOM-to-viewing ratio (eWOM ratio) is proposed.

Quality of life is a concern of banking customers, but it has received little attention in studies conducted within the banking context. This study aims to investigate the influence of mindfulness on customers’ quality of life and the mediating role of service value, satisfaction and loyalty to the company in this relationship.

Three hundred banking customers participated in the survey. In this study, partial least square structural equation modeling (PLS-SEM) was used to test the relationship between the variables. Then, complementary methods were used to assess the robustness of the PLS-SEM results.

In this study, it was found that mindfulness directly influences service value, satisfaction and quality of life. Service value was also found to directly influence satisfaction. Satisfaction directly influences loyalty to the company. In addition, loyalty to the company, but not satisfaction, directly influences quality of life. However, this study did not find any evidence that service value, satisfaction and loyalty to the company mediate the influence of mindfulness on quality of life.

Banking marketing managers need to ensure that their customers have an impressive moment-to-moment experience with the services provided to support improving their quality of life.

The findings help to advance the understanding of how banks can improve their customers’ quality of life while maintaining the well-being of other stakeholders.

La calidad de vida es una preocupación de los clientes de banca, pero ha recibido poca atención en los estudios realizados en el contexto bancario. Este estudio pretende investigar la influencia del mindfulness en la calidad de vida de los clientes y el papel mediador del valor del servicio, la satisfacción y la lealtad a la empresa en esa relación.

Trescientos clientes de banca participaron en la encuesta. Este estudio utilizó la modelización de ecuaciones estructurales por mínimos cuadrados parciales (PLS-SEM) para comprobar la relación entre las variables. A continuación, se utilizó métodos complementarios para evaluar la solidez de los resultados del PLS-SEM.

Este estudio halló que mindfulness influye directamente en el valor del servicio, la satisfacción y la calidad de vida. El valor del servicio también influye directamente en la satisfacción. La satisfacción influye directamente en la lealtad a la empresa. Además, la lealtad a la empresa, pero no la satisfacción, influye directamente en la calidad de vida. Sin embargo, este estudio no encontró pruebas de que el valor del servicio, la satisfacción y la lealtad a la empresa medien la influencia de mindfulness en la calidad de vida.

Los hallazgos ayudan a avanzar en la comprensión de cómo los bancos pueden mejorar la calidad de vida de sus clientes al tiempo que mantienen el bienestar de otras partes interesadas.

Los directores de marketing bancario deben asegurarse de que sus clientes tienen una experiencia impresionante en cada momento con los servicios prestados para apoyar la mejora de la calidad de vida de los clientes.

生活质量是银行业客户关心的问题, 但在银行业范围内的研究中, 它很少得到关注。本研究旨在研究正念对客户生活质量的影响, 以及服务价值、满意度和对公司的忠诚度在这种关系中的中介作用。

三百名银行业客户参与了调查。本研究采用偏最小平方结构方程模型（PLS-SEM）来检验各变量之间的关系。然后, 本研究使用补充方法来评估PLS-SEM结果的稳健性。

本研究发现, 正念直接影响了服务价值、满意度和生活质量。服务价值也被发现直接影响满意度。满意度直接影响到对公司的忠诚度。此外, 对公司的忠诚度, 但不是满意度, 直接影响了生活质量。然而, 本研究没有发现任何证据表明服务价值、满意度和对公司的忠诚度可以调解心态对生活质量的影响。

研究结果有助于推进人们对银行如何在保持其他利益相关者福祉的同时提高客户的生活质量的理解。

银行营销经理需要确保他们的客户对所提供的服务有令人印象深刻的时刻体验, 以支持改善客户的生活质量。

Professor independent directors have been the subject of academic debate as to whether they can improve corporate innovation performance. Accordingly, this paper aims to investigate the relationship between professor independent directors, the marketization process and corporate innovation performance in China.

Using a sample of Chinese A-share listed companies from 2014 to 2017, this study examines how professor independent directors and the (low and high) marketization process affect corporate innovation performance.

The empirical analysis of this yields the following main results. First, enterprises with a higher proportion of professor independent directors outperform those with a low proportion of professor independent directors in terms of corporate innovation. Second, the study of introducing the marketization process finds that there is no “market failure”. Third, while professor independent directors have a significant association with innovation performance in the high-marketization group, this association is negligible in the low-marketization group, indicating that there is no “substitution effect”.

This research provides empirical evidence to support the hiring of professors with relevant backgrounds as independent directors who can contribute meaningfully to corporate governance and innovation while also fostering industrial transformation. This study also identifies that the role of professor independent directors in facilitating corporate innovation is more effective in regions with a high degree of marketization than in regions with a low degree of marketization, implying that increasing marketization benefits the role of professor independent directors in facilitating corporate innovation.

This paper aims to disentangle the mechanism linking digital servitization and manufacturing firm performance. The contributions of the service networks and slack resources are analyzed.

Drawing on a survey of manufacturing firms that have implemented or are implementing digital service projects in China, this paper examines the mediation effect of service networks and the moderated mediation effect of slack resources to capture the role of service networks and slack resources in the relationship between digital servitization and manufacturing firm performance.

Both basic and advanced digital services can equally contribute to manufacturing firm performance. Service networks mediate the relationship between basic digital servitization and manufacturing firm performance. No moderated mediation effect of slack resources is found, but slack resources negatively moderate the effects of basic digital services on service networks and positively impact service networks.

The mediating mechanism of service networks in the relationship between digital servitization and manufacturing firm performance is theorized, and it is clarified that service networks mediate the association between basic digital services and manufacturing firm performance but not advanced digital services. Additionally, there is no significant difference in performance implications when manufacturing firms provide basic versus advanced digital services, answering the call for research on the various types of digital servitization. This paper also identifies firms’ slack resources as the boundary conditions under which basic digital services influence service networks and the positive impacts of slack resources on service networks, bridging the network literature, organizational slack literature and digitalization literature under the framework of service ecosystem research.

This paper aims to investigate the effects of using poor-quality instruments to remedy endogeneity in logit-based demand models. Endogeneity problems in demand models occur when certain factors, unobserved by the researcher, affect both demand and the values of a marketing mix variable set by managers. For example, unobserved factors such as style, prestige or reputation might result in higher prices for a product and higher demand for that product. If not addressed properly, endogeneity can bias the elasticities of the endogenous variable and subsequent optimization of the marketing mix. In practice, instrumental variables (IV) estimation techniques are often used to remedy an endogeneity problem. It is well-known that, for linear regression models, the use of IV techniques with poor-quality instruments can produce very poor parameter estimates, in some circumstances even worse than those that result from ignoring the endogeneity problem altogether. The literature has not addressed the consequences of using poor-quality instruments to remedy endogeneity problems in non-linear models, such as logit-based demand models.

Using simulation methods, the authors investigate the effects of using poor-quality instruments to remedy endogeneity in logit-based demand models applied to finite-sample data sets. The results show that, even when the conditions for lack of parameter identification due to poor-quality instruments do not hold exactly, estimates of price elasticities can still be quite poor. That being the case, the authors investigate the relative performance of several non-linear IV estimation procedures utilizing readily available instruments in finite samples.

The study highlights the attractiveness of the control function approach (Petrin and Train, 2010) and readily available instruments, which together reduce the mean squared elasticity errors substantially for experimental conditions in which the theory-backed instruments are poor in quality. The authors find important effects for sample size, in particular for the number of brands, for which it is shown that endogeneity problems are exacerbated with increases in the number of brands, especially when poor-quality instruments are used. In addition, the number of stores is found to be important for likelihood ratio testing. The results of the simulation are shown to generalize to situations under Nash pricing in oligopolistic markets, to conditions in which cross-sectional preference heterogeneity exists and to nested logit and probit-based demand specifications as well. Based on the results of the simulation, the authors suggest a procedure for managing a potential endogeneity problem in logit-based demand models.

The literature on demand modeling has focused on deriving analytical results on the consequences of using poor-quality instruments to remedy endogeneity problems in linear models. Despite the widespread use of non-linear demand models such as logit, this study is the first to address the consequences of using poor-quality instruments in these models and to make practical recommendations on how to avoid poor outcomes.