Search results

Team leaders play a vital role in achieving superior team performance. However, their role in implementing the organizational customer orientation strategy is not well understood. Drawing on social exchange theory, this study investigates how team leader customer orientation affects team customer orientation climate and team performance (i.e. customer satisfaction) as well as the moderating role of transformational leadership in such effect.

This study builds on survey data collected from matched team leaders, employees and customers nested in 81 service teams and employs hierarchical multiple regression analysis to test the hypotheses.

The findings indicate that team leader customer orientation increases team customer orientation climate, which leads to a higher level of customer satisfaction. Leaders' transformational leadership moderates the link between a leader customer orientation and team customer orientation climate in an unexpected way. When a team leader is transformational, the team customer orientation climate is enhanced, regardless of the level of team leader customer orientation. When a team leader's transformational leadership is low, the higher leader customer orientation is and the higher team customer orientation climate is.

This study contributes to the customer orientation, transformational leadership and service literature by unraveling team leaders' roles in boosting team customer orientation climate and team effectiveness.

Despite the availability of many metrics and tools for marketing performance measurement, the way in which firms use their marketing metrics remains underexplored. This study aims to address this gap by empirically establishing the differing effects of the diagnostic and interactive uses of marketing metrics on firms’ market-sensing capability, contingent on competitive intensity and focus on market-related metrics.

This study builds on survey data collected from 210 Irish-based firms, complemented by 21 in-depth interviews with business managers. Survey data are analysed using regression analysis.

This study finds that firms using marketing metrics interactively to communicate organizational focus are better able to sense their markets, especially under high competition. The authors observe a positive impact of the interactive use of metrics on market-sensing capability, but a U-shaped impact of their diagnostic use, the magnitudes of which further depend on competitive intensity and firms’ focus on market-related metrics.

This study provides a nuanced view of marketing performance measurement (MPM) practices within firms, particularly focussing on diagnostic versus interactive uses of marketing metrics. It also sheds further light on how two diverse uses of marketing metrics – diagnostic and interactive uses – influence a firm’s market-sensing capability. Moreover, the identification of boundary conditions also contributes to the discussion of contextuality in MPM, highlighting the importance of aligning a firm’s uses of marketing metrics with its business environment.

This study provides novel insights into how diverse uses of marketing metrics may benefit firms. The differing effects of diagnostic and interactive uses of marketing metrics on market sensing highlight a primary need for developing the latter and for using the former only with caution. It establishes that all firms would equally benefit from an interactive use of marketing metrics that is pivotal to improving their ability to anticipate, detect and sense market changes.

This study provides novel understanding of the role of marketing metric uses in firms’ market-sensing capability and contributes to the discussion of contextuality in marketing performance measurement. It highlights the importance of aligning a firm’s use of marketing metrics with its business environment.

The last decade has seen a significant increase in self-initiated expatriation research across various cohorts; however, limited research exists on the self-initiated expatriation of medical doctors despite their high mobility rates. The purpose of this paper is to investigate the determinants of cross-cultural adjustment among self-initiated medical doctors working and living in a host culture.

A questionnaire was distributed to self-initiated expatriate (SIE) doctors working in Irish hospitals. In total, 193 valid responses were collected. Three linear regression analyses were conducted to explore factors influencing cross-cultural adjustment among SIE medical doctors, along with qualitative insight into their adjustment to working and living in Ireland.

This study found that age, marital status, cultural novelty, previous international work experience, length of time working in the host culture did not influence the cross-cultural adjustment of SIE doctors. However, gender, language ability and perceived fair treatment were found to influence their cross-cultural adjustment in the study. Specifically, female SIE doctors reported higher levels of general adjustment to that of SIE male doctors. SIE doctors' language ability was found to influence their work adjustment, and those who perceived unfair treatment in the host culture reported lower levels of general adjustment.

This paper contributes to the limited knowledge and understanding surrounding the self-initiated expatriation of medical doctors and their cross-cultural adjustment to the host hospital and host culture.

While the proliferation of chatbots allows companies to connect with their customers in a cost- and time-efficient manner, it is not deniable that they quite often fail expectations and may even pose negative impacts on user experience. The purpose of the study is to empirically explore the negative user experience with chatbots and understand how users respond to service failure caused by chatbots.

This study adopts a qualitative research method and conducts thematic analysis of 23 interview transcripts.

It identifies common areas where chatbots fail user expectations and cause service failure. These include their inability to comprehend and provide information, over-enquiry of personal or sensitive information, fake humanity, poor integration with human agents, and their inability to solve complicated user queries. Negative emotions such as anger, frustration, betrayal and passive defeat were experienced by participants when they interacted with chatbots. We also reveal four coping strategies users employ following a chatbots-induced failure: expressive support seeking, active coping, acceptance and withdrawal.

Our study extends our current understanding of human-chatbot interactions and provides significant managerial implications. It highlights the importance for organizations to re-consider the role of their chatbots in user interactions and balance the use of human and chatbots in the service context, particularly in customer service interactions that involve resolving complex issues or handling non-routinized tasks.

This study aims to explore how online reviews and users’ social network centrality interact to influence idea popularity in open innovation communities (OICs).

This study used Python to obtain data from the LEGO Innovation Community. In total, 285,849 reviews across 4,475 user designs between March 2019 and March 2021 were extracted to test this study’s hypotheses.

The ordinary least square regression analysis results show that review volume, review valence, review variance and review length all positively influence idea popularity. In addition, users’ in-degree centrality positively interacts with review valence, review variance and review length to influence idea popularity, while their out-degree centrality negatively interacts with such effects.

Drawing on the interactive marketing perspective, this study employs a large sample from the LEGO community and examines user design and idea popularity from a community member’s point of view. Moreover, this study is the first to confirm the role of online reviews and user network centrality in influencing idea popularity in OICs from a social network perspective. Furthermore, by integrating social network analysis and persuasion theories, this study confirms the interaction effects of review characteristics and users’ social network centrality on idea popularity.

This study’s results highlight that users should actively interact and share with reviewers their professional product design knowledge and/or the journey of their design to improve the volume of reviews on their user designs. Moreover, users could also draw more attention from other users by actively responding to heterogeneous reviews. In addition, users should be cautious with the number of people they follow and ensure that they improve their in-degree rather than out-degree centrality in their social networks.

This study integrates social network analysis and persuasion theories to explore the effects of online reviews and users’ centrality on idea popularity in OICs, a vital research issue that has been overlooked.

Driven by the growing pressure to justify the contributions of marketing activities, marketers have shown considerable interest in improving their marketing performance measurement systems (MPMSs). The purpose of this study is to examine the neglected mediating effect of marketing capabilities on the MPMS–firm performance relationship and to focus on specific aspects of MPMSs that have been largely omitted in the prior research, namely, the comprehensiveness and uses of MPMSs.

A survey was conducted with marketing and senior managers from 210 Irish-based companies. The proposed research model was tested by using the SPSS Process macro and structural equation modeling in AMOS 24.

The three characteristics of MPMSs influence firm performance in different manners: while the diagnostic use of MPMSs hinders the development of market-linking capability and thus negatively influences firm performance; the comprehensiveness of MPMSs positively influences firm performance through its impact on architectural marketing capability; and the interactive use of MPMSs via externally focused learning and market-linking capabilities.

Although this study used objective firm performance data to validate subjective data, the use of single-informant and self-reported measures may still be a concern, as the strong relationships between variables may be because of single-informant bias.

This study provides insights into how companies can use a comprehensive MPMS to cultivate specific crucial marketing capabilities and thereby enhance firm performance.

This study contributes to the marketing performance measurement literature by proposing and empirically validating the mediating effect of marketing capabilities on the MPMS–firm performance relationship.

A holistic understanding of sources that evoke customer emotions is essential for creating a positive emotional customer experience (ECX). Despite a significant focus on the cognitive aspect of customer experience and traditional customer behaviours (e.g. loyalty and satisfaction), limited attention has been paid to ECX and co-creation behaviours. The purpose of this paper is to address this important knowledge gap by identifying different emotions and prominent sources of ECX (i.e. emotion triggers and constructors) during service interactions. By doing so, key customer co-creation behaviours are also identified, which help enhance positive customer experience.

A combined application of the appraisal theory and thematic analysis was used to explore ECX, its sources and co-creation behaviours as observed from 1,063 TripAdvisor customer reviews of luxury hotels in Ireland.

The results show that a single service interaction can evoke multiple emotions during the interaction process. The findings capture prominent emotions that customers experience and various important emotion triggers (physical environment, service management and offerings and human interaction) and constructors (customer expectation, accumulated service experience and culture fusion and authenticity). Three main customer co-creation behaviours (reinforcing intention, active and resourceful behaviours), which help facilitate the co-creation of positive customer emotions, are also identified.

The study proposes a new framework that provides unique insights into ECX to guide service improvement and innovation. A novel approach of applying the appraisal theory to a netnographic study is used to develop an ECX framework, which integrates various emotion triggers and constructors, and subsequent customer co-creation behaviours in the hotel industry.

The purpose of this paper is to better understand the indirect link between high-performance work systems (HPWSs) and firm performance in Chinese professional service firms (PSFs) by investigating the mediating role of organizational ambidexterity, i.e. a firm’s capability to simultaneously explore new ideas and exploit existing resources.

Data were collected from 120 Chinese accounting firms. The authors used hierarchical and polynomial regression analyses to test their hypotheses.

The proposed positive link between the HPWS and organizational ambidexterity was found. Further, the results showed a non-linear relationship between organizational ambidexterity and organizational performance.

The present study is limited in terms of small sample size, single industry and self-report data.

Firms which reported a higher level of HPWS demonstrated better performance due to their organizational capability to explore new ideas and exploit existing resources. In the Chinese context, firms that had high levels of exploration (exploring new resources) and exploitation (exploiting existing resources) or that had a high level of exploration experienced higher performance. The authors can conclude from these findings that without exploration, organizational success is difficult to achieve for PSFs.

This is the first study examining the underlying mechanism of organizational ambidexterity in the indirect relationship between HPWS and firm performance in Chinese PSFs. It advances the authors understanding of HPWS and firm performance relationship in an Eastern country and an emerging context of PSFs. This is also the first study to use polynomial regression to operationalize organizational ambidexterity.

As an advanced manufacturing method, additive manufacturing (AM) technology provides new possibilities for efficient production and design of parts. However, with the continuous expansion of the application of AM materials, subtractive processing has become one of the necessary steps to improve the accuracy and performance of parts. In this paper, the processing process of AM materials is discussed in depth, and the surface integrity problem caused by it is discussed.

Firstly, we listed and analyzed the characterization parameters of metal surface integrity and its influence on the performance of parts and then introduced the application of integrated processing of metal adding and subtracting materials and the influence of different processing forms on the surface integrity of parts. The surface of the trial-cut material is detected and analyzed, and the surface of the integrated processing of adding and subtracting materials is compared with that of the pure processing of reducing materials, so that the corresponding conclusions are obtained.

In this process, we also found some surface integrity problems, such as knife marks, residual stress and thermal effects. These problems may have a potential negative impact on the performance of the final parts. In processing, we can try to use other integrated processing technologies of adding and subtracting materials, try to combine various integrated processing technologies of adding and subtracting materials, or consider exploring more efficient AM technology to improve processing efficiency. We can also consider adopting production process optimization measures to reduce the processing cost of adding and subtracting materials.

With the gradual improvement of the requirements for the surface quality of parts in the production process and the in-depth implementation of sustainable manufacturing, the demand for integrated processing of metal addition and subtraction materials is likely to continue to grow in the future. By deeply understanding and studying the problems of material reduction and surface integrity of AM materials, we can better meet the challenges in the manufacturing process and improve the quality and performance of parts. This research is very important for promoting the development of manufacturing technology and achieving success in practical application.

Corporations, as key contributors of greenhouse gas emissions, have been increasingly scrutinized by governments and stakeholders. Corporations have been asked to disclose their carbon-related information. This study investigates public corporate carbon disclosure, an imperative communication channel between firms.

This study uses generalized estimation equation models with a longitudinal panel data of 311 listed firms in the China A-share stock index from 2010 to 2020. This study collected firm-level data from the Carbon Disclosure Project survey, the China Stock Market and Accounting Research, and the National Economic Research Institute of China. Stata was used as the primary statistic software in empirical analyses.

This study finds that compared to state-owned enterprises (SOEs), private firms are more willing to disclose carbon information under legitimate environmental pressure, and firms in highly distorted factor-markets are reluctant to disclose carbon information. This study finds that factor-distortion markets further moderate ownership and lead private firms in highly distorted factor-markets to behave like SOEs by significantly reducing their carbon disclosures.

This study intends to contribute to the corporate carbon disclosure literature by adding important institutional determinants to the conversation in the context of China.