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The purpose of this paper is to suggest that the effects of service quality (SQ) on outcome variables may shift over time. However, scant attention has been paid to capturing that shift. The current study uses the theory of relationship dynamics to capture the rate and direction of change in the effects of SQ attributes on customer satisfaction (CS) and emotional attachment (EA). For this purpose, the study takes CS-velocity and EA-velocity as dynamic outcomes of SQ.

A sample of 306 restaurant consumers responded to a structured questionnaire at three points in time. Confirmatory factor analysis was carried out, followed by analysis of the data through latent growth curve modeling using MPlus (Version 8.1).

SQ attributes positively affect CS and EA, but these effects diminish over time, as SQ attributes negatively influence CS-velocity and EA-velocity. In addition, the study demonstrates that dynamic elements strongly impact behavioral intentions (BI).

The study enables service and relationship marketing managers to better understand the role of SQ attributes in maintaining longitudinal satisfaction, attachment and BI. The insights from this longitudinal investigation help managers to formulate long-term service management and relationship management strategies.

This study is the first attempt to examine SQ’s dynamic outcomes using longitudinal panel data. It is the first study to introduce EA-velocity as a dynamic construct of EA and the first to examine the relationships of CS-velocity and EA-velocity with BI.

Digital transformation (DT) has great potential to improve operations and stimulate business growth. It has attracted widespread attention from businesses around the world. However, firm performance in DT implementation (DTI) cannot be neglected. This study examines the benefits and costs of DT and its effects on operations and financial performance of DT.

Based on the financial report data from S&P 500 firms, we measure the financial performance, productivity and market value of DTI with a baseline in 2020. In addition, we collect secondary data to construct linear regression models for three dummy variables, including DT adopters, first movers and better performers.

Empirical results demonstrate that digitally transformed firms are positively correlated with business performance, while the performance among first movers has a partially positive impact. DT has also had a significant impact on long-term performance as shown by our long-term observations. Empirical findings indicate that DT has varying impacts on organizational performance in different dimensions and provides DT target-setting guidance to enterprises.

There are no studies so far that could proffer certain evidence to reveal the influence of DTI on firm performance. Such evidence is necessary for managers to convince their investors and stakeholders to believe that DTI can create new revenue for enterprises.

For many of the current leadership theories, models, and approaches, the answer to the question posed in the title, “Is leadership more than ‘I like my boss’?,” is “no,” as there appears to be a hierarchy of leadership concepts with Liking of the leader as the primary dimension or general factor foundation. There are then secondary dimensions or specific sub-factors of liking of Relationship Leadership and Task Leadership; and subsequently, tertiary dimensions or actual sub-sub-factors that comprise the numerous leadership views as well as their operationalizations (e.g., via surveys). There are, however, some leadership views that go beyond simply liking of the leader and liking of relationship leadership and task leadership. For these, which involve explicit levels of analysis formulations, often beyond the leader, or are multi-level in nature, the answer to the title question is “yes.” We clarify and discuss these various “no” and “yes” leadership views and implications of our work for future research and personnel and human resources management practice.

This study aims to argue that manufacturers with more exploration orientation (compared to exploitation orientation) have higher degrees of export marketing internalization (EMI) of branding and channels.

The authors use a multisource survey collecting data from 161 Taiwanese high-tech manufacturers in emerging markets.

The results show that manufacturers with more exploration orientation have higher degrees of EMI of both branding and channels. This work also reveals that relational ties with supply chain peers can strengthen this proposed positive effect on the EMI of channels while weakening the positive proposed effect on the EMI of branding.

Accordingly, this study enriches the resource-based view (RBV) literature by showing how firms’ unique resource portfolios affect their adopted EMI strategies in two ways: (1) firms design their EMI based on their value maximization of core competences (e.g. ambidexterity capability), and (2) firms face resource inconsistency when designing their EMI of different marketing activities.

Contemporary scholars contend that the buyer–seller relationship is dynamic in nature, so it grows, matures and declines over time. However, most studies that adopt the dynamic perspective debates its conceptualization and how dynamic effects are captured. This scholarly discourse has led to multiple dynamic perspectives and resulted in fragmented and scattered literature on the subject. This study aims to synthesize the large body of research on dynamic perspectives in a systematic way.

This paper follows a systematic review approach to extract and review 192 research articles from four electronic databases: Web of Science, EBSCOhost Business, ScienceDirect and Emerald. Based on the inclusion criteria that the articles examine time-dependent relationship development in light of a generalizable dynamic perspective, 61 articles were selected for the final examination and reporting.

This review reveals that most research on the buyer–seller dynamic relationship follows at least one of four perspectives: the relationship lifecycle, relationship age, relationship velocity and the asymmetric–dynamic perspective. Each perspective offers a distinct conceptualization of relationship development and has certain advantages that enable researchers to capture information about relationships’ growth trajectory in a unique manner.

Firms need a set of diverse strategies for their customers, depending on the state of the relationships’ development, as strategies that pay off at initial levels may fail at later stages. This study helps managers select an appropriate dynamic perspective that best aligns with their customers’ stage of relationship development so they can devise customized relationship-management strategies.

To the best of the authors’ knowledge, this article is the first attempt to organize the discourse of a large body of research on dynamic perspectives, and therefore it helps academicians and practitioners to choose the dynamic perspective that best suits their objectives and research settings. This review documents key research areas that have been overlooked and highlights opportunities for future research.

As researchers are writing a draft paper with incomplete structure or text, one of burdensome tasks is to deliberate about which references should be cited for one sentence or paragraph of this draft. In view of the rapid increase in the number of research papers, researchers desire to figure out a better way to do citation recommendations in developing their draft papers. The purpose of this paper is to propose citation recommendation algorithms that enable the acquisition of relevant citations for research papers that are still at the drafting stage. This study attempts to help researchers to select appropriate references among the vast amount of available papers and make draft papers complete in reference citation.

This study adopts a model for recommending citations for incomplete drafts. Four algorithms are proposed in this study. The first and second algorithms are unsupervised models, applying term frequency-inverse document frequency and WordNet technologies, respectively. The third and fourth algorithms are based on the second algorithm to integrate different weight adjustment strategies to improve performance.

The proposed recommendation method adopts three techniques, including using WordNet to transform vector and setting adjustment weights according to structural factors and the information completeness degree, to generate citation recommendation for incomplete drafts. The experiments show that all these three techniques can significantly improve the recommendation accuracy.

None of the methods employed in previous studies can recommend articles as references for incomplete drafts. This paper addresses the situation that a draft paper can be incomplete either in structure or text or both. Recommended references, however, can be still generated and inserted into any desired sentence of the draft paper.

Customer lifetime value (CLV) scoring is highly effective when applied to marketing databases. Some researchers have extended the traditional association rule problem by associating a weight with each item in a transaction. However, studies of association rule mining have considered the relative benefits or significance of “items” rather than “transactions” belonging to different customers. Because not all customers are financially attractive to firms, it is crucial that their profitability be determined and that transactions be weighted according to CLV. This study aims to discover association rules from the CLV perspective.

This study extended the traditional association rule problem by allowing the association of CLV weight with a transaction to reflect the interest and intensity of customer values. Furthermore, the authors proposed a new algorithm, frequent itemsets of CLV weight (FICLV), to discover frequent itemsets from CLV-weighted transactions.

Experimental results from the survey data indicate that the proposed FICLV algorithm can discover valuable frequent itemsets. Moreover, the frequent itemsets identified using the FICLV algorithm outperform those discovered through conventional approaches for predicting customer purchasing itemsets in the coming period.

This study is the first to introduce the optimum approach for discovering frequent itemsets from transactions through considering CLV.

In the context of the severe global challenges posed by climate and environmental issues, this paper aims to explore the connection between female Chief Executive Officers (CEOs) and the level of sustainable development in companies. This study aims to investigate the impact of female CEOs on corporate ESG performance and provide a detailed analysis of the underlying mechanisms.

This study uses a sample of listed companies from 2010 to 2021, as reported by Bloomberg. This study uses logit regression models to test hypotheses and conduct robustness tests using the generalized method of moments, propensity score matching and heckman two statge tests.

The research findings indicate that female CEOs can enhance a company’s ESG performance, primarily by elevating the level of green innovation and engaging in more philanthropic activities. When environmental uncertainty is high, the risk-averse attitude of female CEOs may diminish the enhancement of ESG performance. However, granting a higher proportion of equity to female CEOs incentivizes risk-taking, thereby strengthening the improvement of ESG performance. Further analysis reveals that the impact of female CEOs on ESG performance is more significant in non-state-owned enterprises, high-pollution industries, and companies with low financing constraints.

The authors have shown that two key ways in which female CEOs enhance a company’s ESG performance are by increasing the level of green innovation and assuming more social responsibility. Nonetheless, this remains a shortcoming of this work, opening a door for future research to examine and enrich. There may be other possible mechanisms explaining the influence of female CEOs on corporate ESG performance. More research is warranted about the CEO’s additional traits, which were not considered in this study but may have an impact on a company’s ESG performance. Finally, while the analysis has delved into the moderating effects of external factors such as environmental uncertainty and CEO ownership on the influence of female CEOs on corporate ESG performance, there is room for exploring whether other factors also play a moderating role in future studies.

First, the findings of this study highlight the beneficial societal and economic effects of choosing female CEOs. The inclination to take on social responsibility and care for the environment are both higher among female CEOs. Furthermore, the authors have also discovered that female CEOs possess unique advantages in promoting corporate sustainability and enhancing ESG standards. This can contribute to breaking down stereotypes about gender roles in the workplace. Finally, this research shows that organizational heterogeneity and market risks have an impact on female CEOs’ capacity to improve company ESG performance.

A significant innovation of this paper lies in its unique focus on the connection between female CEOs and corporate ESG performance, along with the underlying mechanisms. Against the backdrop of sustainable development, the paper integrates social gender theory, upper echelon theory and agency theory into a comprehensive framework, shedding light on the influence of female CEOs on ESG performance and the associated mechanisms.

The purpose of this paper is to propose and demonstrate a new additive manufacturing approach that breaks the layer-based point scanning limitations to increase fabrication speed, obtain better surface finish, achieve material flexibility and reduce equipment costs.

The freeform additive manufacturing approach conceptually views a 3D article as an assembly of freeform elements distributed spatially following a flexible 3D assembly structure, which conforms to the surface of the article and physically builds the article by sequentially forming the freeform elements by a vari-directional vari-dimensional capable material deposition mechanism. Vari-directional building along tangential directions of part surface gives surface smoothness. Vari-dimensional deposition maximizes material output to increase build rate wherever allowed and minimizes deposition sizes for resolution whenever needed.

Process steps based on geometric and data processing considerations were described. Dispensing and forming of basic vari-directional and vari-dimensional freeform elements and basic operations of joining them were developed using thermoplastics. Forming of 3D articles at build rates of 2-5 times the fused deposition modeling (FDM) rate was demonstrated and improvement over ten times was shown to be feasible. FDM compatible operations using 0.7 mm wire depositions from a variable exit-dispensing unit were demonstrated. Preliminary tests of a surface finishing process showed a result of 0.8-1.9 um Ra. Initial results of dispensing wax, tin alloy and steel were also shown.

This is the first time that both vari-directional and vari-dimensional material depositions are combined in a new freeform building method, which has potential impact on the FDM and other additive manufacturing methods.

Commercial space features essential characteristics of attracting clients and creating profits; thus, the exterior and interior designs of conventional commercial space were often made to look grandiose and overdecorated. Over time, according to commercial attributes, operator preferences, and style of the designer, commercial spaces have constantly undergone renovation into varied styles. However, the physical renovation processhas caused multiple and composite types of environmental pollution, such as waste and noise pollution caused by breaking of walls or partitions, anddecorative paint pollution, as well as the use of high-energy-consuming lighting equipment, air-conditioning systems, and decorative materials. Global pollution has caused climate change, endangering living organismsand human life. Furthermore, no effective method exists to control the problem of high greenhouse gas emissions. Therefore, this study used energy-saving design concerns of a garden-type commercial space to propose an energy-saving evaluation model. The study combined three methodologies, the Delphi method, analytic hierarchy process, and fuzzy logic theory, to construct a multi-criteria decision support system for designing green commercial spaces, and used the green spatial design of a garden café as an example to illustrate the high objectivity and adaptability of the proposed model in practical application. The study also used an international award-winning case to validate that the proposed model had practical value as a reference to support key design decisions.