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The purpose of this study is to simultaneously investigate a comprehensive analysis of the extent to which strategic orientations, namely, imitation and innovation orientations, and knowledge management affect firm performance.

Drawing on the theoretical frameworks of the resource-based view and dynamic capability theory, this scholarly inquiry has proposed a comprehensive framework that delineates the relationships amongst imitation, innovation, absorptive capacity (ACAP), innovation performance and financial performance. To scrutinize the proposed research model, bootstrap routines were used through Smart partial least squares to estimate the procedures. To collect the necessary data, a questionnaire and financial statements were acquired from a sample of 100 Iranian firms listed on the Tehran Stock Exchange. The findings of the study have important implications for both scholars and practitioners seeking to enhance firm performance through the effective utilization of imitation, innovation and ACAP.

The results indicate that imitation activities have directly led to the improvement in innovation performance, even in the presence of innovation and ACAP. However, the relationship has not been confirmed by financial performance.

Imitation and innovation orientations have been identified as pivotal strategic orientations that can significantly affect firm performance. As far as the authors know, this investigation represents the first comprehensive examination of both imitation and innovation activities as a critical transition in emerging markets (EMs) characterized by complex economies, such as Iran. The findings may aid firms in enhancing their performance by providing insight into the strategic importance of imitation and innovation orientations in EMs.

This paper aims to illustrate the scope and challenges of using computer-aided content analysis in international marketing with the aim to capture consumer sentiments about COVID-19 from multi-lingual tweets.

The study is based on some 35 million original COVID-19-related tweets. The study methodology illustrates the use of supervised machine learning and artificial neural network techniques to conduct extensive information extraction.

The authors identified more than two million tweets from six countries and categorized them into PESTEL (i.e. Political, Economic, Social, Technological, Environmental and Legal) dimensions. The extracted consumer sentiments and associated emotions show substantial differences across countries. Our analyses highlight opportunities and challenges inherent in using multi-lingual online sentiment analysis in international marketing. Based on these insights, several future research directions are proposed.

First, the authors contribute to methodology development in international marketing by providing a “use-case” for computer-aided text mining in a multi-lingual context. Second, the authors add to the knowledge on differences in COVID-19-related consumer sentiments in different countries. Third, the authors provide avenues for future research on the analysis of unstructured multi-media posts.

Customer orientation (CO) means meeting customers’ needs better than competitors. Competitor orientation means using and acting upon the knowledge of competitors. Thus, the main aim of this study is to analyze the effects of environmental competitiveness on export performance by examining the moderating roles of these variables.

Based on data from 5,000 firms from a survey run in 2021 in Turkey facilitated by the Chamber of Commerce, the authors tested their hypotheses using partial least squares structural equation modeling and correlation analysis.

The results show that competitor orientation positively affects the relationship between a competitive environment and export performance. However, the authors do not find evidence of a significant effect on CO.

Service sector managers should sacrifice customers to gain export market share in favor of superiority with competitors.

Prior research has yet to emphasize the importance of competition intensity in export performance for service-logistics firms. However, the environmental competitiveness–performance relationship is better explained with the help of these test results and the two additional moderators suggested in this work. Moreover, the export performance indicators were gathered from an independent source.

This paper analyzes previously unmeasured effects of a response to a service incident called “benevolent” within the customer –firm relationship.

A questionnaire was administered to telecommunication customers in a Western European country, and the model was estimated using partial least squares (PLS).

This study shows that the customer–firm relationship is surprisingly affected by the response to expected incidents that the customer interprets as acts of benevolence or opportunism. This research also shows that the firm's incident response interpreted as benevolence or opportunism has an effect that merely positive or negative events do not. Acts of benevolence response towards an incident positively affect customer–firm relationship quality, and expectations of such acts may lead to an upward spiral in customer commitment.

While benevolence trust has been proposed and studied before, the response to incidents interpreted as benevolent or opportunistic and their consequences have been under-studied, hence exhibiting a research gap.

在公司與顧客之間的關係的範疇內, 公司對服務事故所作的被稱為仁慈的反應的影響不曾被測量; 本研究擬就該反應的影響進行分析和探討。

研究以問卷方式進行¸ 對象為一個西歐國家裏的電訊服務客戶。研究人員使用偏最小平方法作估算, 設計有關的模型。

研究結果顯示、若顧客對公司就預期的事故所作的反應看作是仁慈的話, 又或相反地視為是投機主義所驅使的, 則公司與顧客之間的關係會出人意表地受到影響。研究結果亦顯示、顧客的仁慈、抑或是投機主義的闡釋和理解所帶來的影響, 與單純積極正面事件或消極負面事件所帶來的影響是不一樣的。公司對事件仁厚的回應會給予顧客之間的關係的質量帶來正面的影響; 而且, 對這種回應的預期、或會給客戶承諾帶來螺旋上升。

對仁厚之信賴曾被提出並作探討。唯對被視為仁慈的或機會主義作祟的反應所作的研究則不足, 這方面實存研究缺口。

The purpose of this study is to explore the interplay between electronic service quality, user experience (UX) and overall customer satisfaction. Additionally, it aims to assess the suitability of E-S-QUAL and UX metrics within the cultural context of Greece.

Data were collected from 310 Internet users based on their last online purchase from an e-retail website. To evaluate the conceptual model, the authors used partial least squares structural equation modeling (PLS-SEM).

The findings of this study validate the scales' reliability and validity in the realm of electronic commerce (e-commerce) in Greece. The findings also emphasize the favorable association between e-service quality and UX with overall satisfaction, while indicating that e-service quality plays a partial mediating role in the relationship between UX and customer satisfaction.

The authors' study enhances the existing theory by introducing a new multi-dimensional conceptual framework that illuminates the relative importance of the dimensions within the scales. Additionally, it offers valuable insights into the impacts of e-service quality and UX on overall satisfaction, providing managers and practitioners with a tool to evaluate the quality of their electronic services and make necessary adjustments to meet the needs of their customers.

Innovative pedagogical delivery (IPD) and behaviour have been a major concern among academics in Nigeria. The purpose of this study is aimed at analyzing the impact of psychological empowerment (PE) on IPD through achievement orientation (AO) and perceived inclusive leadership (PIL) among academics of tertiary institutions in Nigeria.

A questionnaire-based survey was conducted among the academics in Nigeria, and 350 responses were received. A multiple regression analysis was conducted using Smart-PLS version 3.

Findings are: (a) PE significantly impacts AO and IPD; (b) AO mediates the relationship between PE and IPD; and (c) PIL moderates the relationship between PE and AO.

It is recommended that practitioners and administrators in tertiary institutions pay attention to academics’ AO while integrating employee empowerment intervention for optimum results.

The findings emphasize AO in explaining the mechanism by which the relationship between PE and IPD holds sway. PIL explains the boundary conditions under which PE can effectively influence IPD.

Artificial intelligence (AI) is increasingly applied by businesses to optimize their processes and decision-making, develop effective and efficient strategies, and positively influence customer behaviors. Businesses use AI to generate behaviors such as customer retention (CR). The existing literature on “AI and CR” is vastly scattered. The paper aims to review the present research on AI in CR systematically and suggest future research directions to further develop the field.

The Scopus database is used to collect the data for systematic review and bibliometric analysis using the VOSviewer tool. The paper performs the following analysis: (1) year-wise publications and citations, (2) co-authorship analysis of authors, countries, and affiliations, (3) citation analysis of articles and journals, (4) co-occurrence visualization of binding terms, and (5) bibliographic coupling of articles.

Five research themes are identified, namely, (1) AI and customer churn prediction in CR, (2) AI and customer service experience in CR, (3) AI and customer sentiment analysis in CR, (4) AI and customer (big data) analytics in CR, and (5) AI privacy and ethical concerns in CR. Based on the research themes, fifteen future research objectives and a future research framework are suggested.

The paper has important implications for researchers and managers as it reveals vital insights into the latest trends and paths in AI-CR research and practices. It focuses on privacy and ethical issues of AI; hence, it will help the government develop policies for sustainable AI adoption for CR.

To the author's best knowledge, this paper is the first attempt to comprehensively review the existing research on “AI and CR” using bibliometric analysis.

The study examines the effect of human and social capital-supporting human resource (HR) practices and structural capital-supporting culture on innovativeness and the mediating role of knowledge management (KM) processes in the knowledge-intensive Indian IT sector.

Using a quantitative approach, the authors collected data from 387 employees in 30 IT organizations via a questionnaire survey. The authors analyzed data using structural equational modeling using AMOS 26.

The results indicate complete mediation of KM processes between human capital-HR (HCHRP), social capital HR (SCHRP), bureaucratic culture (BOC) space and innovativeness. KM processes partially mediated the effect of innovative-competitive culture (IOC) on innovativeness. KM processes have a robust predictive capacity for innovativeness, suggesting that human capital-supporting HR and innovative-competitive culture significantly contribute to KM Processes and innovativeness, respectively.

This study provides practical insights to HR and knowledge managers to leverage their HR practices and organizational culture for improving innovation performance in KISO.

The paper adds to the intellectual capital and KM literature by exploring the mediating role of the KM process in the underlying mechanism suggesting that intellectual capital can enhance HR and culture, leveraging a firm's knowledge resources for innovativeness. It fills a research gap by providing original evidence based on primary data collected from India's IT sector.

Small- and medium-sized enterprises (SMEs) often operate in environments marked by high levels of turbulence. Such firms adopt digital technologies and platforms that provide access to external real-time information and establish digital connectivity between firms to remain competitive. This study aims to focus on SMEs’ downstream and upstream platform-based digital connectivity (PDC).

This study examines the effects of PDC on SMEs’ operational performance under conditions of environmental turbulence. The data was gathered from 192 SMEs operating in the manufacturing arena.

The results show that the adoption of PDC does not directly affect an SME’s operational performance. However, in highly turbulent environments, PDC can improve operational performance. The results indicate that the performance effects of PDC vary according to the level and type of environmental turbulence.

This research offers insights into the relationship between PDC among SMEs and operational performance and encourages future research examining other possible conditional effects that could explain the contradictory results found in previous research.

This study contributes to the knowledge of supply-chain digitalization among SMEs and its performance effects in varying environmental conditions. Further, this study contributes to the prior research by focusing on the interorganizational aspects of digitalization in SMEs.

This research intends to develop a conceptual framework investigating how IT-related resources, namely IT advancement (ITAD) and IT alignment (ITAG), utilization relates to digital marketing capabilities (DMCs) development, which in turn improves business performance (BP), as well as how digital orientation (DO) and technological turbulence (TT) moderate these effects.

This study employs an online email-based survey technique to collect primary cross-sectional data from 388 small and medium-sized enterprises operating in India. Moderated hierarchical regression was used to validate the hypothesized relationships.

ITAD and ITAG are significant drivers of DMCs, and these capabilities positively influence BP. Moreover, DO strengthens the positive effect of ITAD and ITAG on DMCs, with ITAD having a higher impact than ITAG. Similarly, DMCs have a greater positive effect on BP in an environment with high TT.

Despite increased interest in the information technology resources required for the development of DMCs, less attention has been paid to the relationship between ITAD and ITAG resources and DMCs. In addition, few researchers investigate the moderating influence of DO on the relationship between IT-related resources and DMCs, as well as TT on the association between DMCs and BP.