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The purpose of this paper is exploring the effects of segment dynamic and temporal dynamic triggered by the COVID-19 pandemic on classifying service quality attributes, thereby formulating improvement strategies to satisfy customers and respond to threats.

Given the dynamics of the attractive quality theory, this paper designs a framework with four phases by embedding techniques of text mining and deep learning based on evidence from online reviews.

This paper figures out dynamics of service quality attributes for distinct segments and their dynamic proportion along with different stages of the pandemic. Another finding demonstrates segment dynamic and temporal dynamic effects of sentiments toward service quality attributes on customer satisfaction under the impacts of pandemic. Classification results and improvement strategies are derived for varying segments at different pandemic situations.

This paper reveals dynamic effects on classifying service quality attributes, which contributes to assisting hospitality practitioners from different segments in improving service quality when facing with the challenges of crisis and potential risks.

Given hospitality industry is time- and segment-sensitive, the authors achieve the quantification of dynamics of attractive quality theory and extend it into hospitality marketing and crisis management from the perspective of dynamics with evidence from online reviews.

Panel data-based demand forecasting models have been widely adopted in various industrial settings over the past few decades. Despite being a highly versatile and intuitive method, in the literature, there is a lack of comprehensive review examining the strengths, the weaknesses, and the industrial applications of panel data-based demand forecasting models. The purpose of this paper is to fill this gap by reviewing and exploring the features of various main stream panel data-based demand forecasting models. A novel process, in the form of a flowchart, which helps practitioners to select the right panel data models for real world industrial applications, is developed. Future research directions are proposed and discussed.

It is a review paper. A systematically searched and carefully selected number of panel data-based forecasting models are examined analytically. Their features are also explored and revealed.

This paper is the first one which reviews the analytical panel data models specifically for demand forecasting applications. A novel model selection process is developed to assist decision makers to select the right panel data models for their specific demand forecasting tasks. The strengths, weaknesses, and industrial applications of different panel data-based demand forecasting models are found. Future research agenda is proposed.

This review covers most commonly used and important panel data-based models for demand forecasting. However, some hybrid models, which combine the panel data-based models with other models, are not covered.

The reviewed panel data-based demand forecasting models are applicable in the real world. The proposed model selection flowchart is implementable in practice and it helps practitioners to select the right panel data-based models for the respective industrial applications.

This paper is the first one which reviews the analytical panel data models specifically for demand forecasting applications. It is original.

Few studies illustrate how contextual effects (e.g. assimilation and contrast) in pay-per-click ad design may impact consumers' attitudes and purchase intention. To fill this research gap, the authors provide theoretical predictions and empirical evidence on how ad design may prompt an assimilation and/or a contrast effect that may influence consumers' attitudes toward the ad and the brand and purchase intention. They also investigate whether the impact of contextual effects on consumers' decisions depends on the level of vividness in the ad.

A 2 (vividness: dynamic motion vs. static page) × 2 (information design: assimilation vs. contrast) × 2 (aesthetic design: assimilation vs. contrast) between-subjects experimental design is used to examine the effects of vividness, information design and aesthetic design. Conditional process analysis is used to assess the mediating role of attitudes toward the ad and the brand in the relationship between contextual effects and purchase intention.

For dynamic ads (i.e. high vividness) but not for static ads (i.e. low vividness), combined information contrast and aesthetic contrast designs generate a more favorable attitude toward the brand and a higher purchase intention than do combined information assimilation and aesthetic assimilation designs. Notably, combined information contrast and aesthetic contrast designs have the strongest effects than any other combination of assimilation and contrast designs of information and aesthetics. Attitudes toward the ad and the brand are significant mediators between contextual factors and intention to purchase.

The study examines the effectiveness of online ads from a new theoretical angle based on the attributes of pay-per-click ads.

The results suggest that when advertisers decide to use dynamic ads, they should adopt a contrast design for both the ad information and its aesthetics.

This study fills a research gap in the contextual effects literature, including providing evidence of an underlying process in the relationship between certain contextual effects and purchase intent. It also extends previous findings of assimilation/contrast in information design to aesthetics design and advances the literature on vividness by examining a moderation effect of vividness.

The purpose of this paper is to simulate the indirect and direct effects of remittances in developing countries.

The paper estimates a dynamic macroeconomic model and estimates the short‐run and long‐run dynamic multiplier effects of hypothetical temporary changes in remittances, as well as simulates the permanent effects of observed remittances.

The results indicate positive multiplier effects in general, and they also reveal a substantial variability across income categories and regions. The results indicate that low‐income economies are more inclined to spend their incomes on consumption and investments than middle‐income economies and, therefore, have a higher short‐run potential gain from receiving remittances. Low‐income economies typically reside in Sub‐Saharan Africa, whereas middle‐income economies are mainly found in East Europe, Latin America and North Africa and the Middle East. However, actual gains from remittances are highest in lower middle‐income economies because these countries receive more remittances. Generally, the short‐run effects are higher than the long‐run effects due to a sustained dependence of imported goods and services.

The paper analyzes the effects of remittances on components in aggregate demand.

The results support the World Bank's current policy recommendation that remittances should be promoted.

The paper corrects the algebraic solution for dynamic multiplier effects in Glytsos's work, written in 2005, and estimates the model for a macroeconomic panel containing 115 developing countries. The paper considers the effects of the net flows of remittances rather than of inflows only.

As a standard source of capital for entrepreneurs, crowdfunding has recently gained wide attention in business and academia. With scientific endorsement, some research is conducted to explore the antecedents of online crowdfunding success. The factors that can influence the backers’ investment which is the key to success are information from prior backers’ and creators’ behaviors. Based on the signaling theory, the purpose of this paper is to systematically investigate the dynamic influences and interaction effects of signals with different forms (action-based or opinion-based signals) and sources (creator-sourced or backer-sourced signals) on backers’ investment behaviors over a project-funding cycle.

A panel data set of 3,010 projects with 640,625 transaction records from April 28, 2013 to September 31, 2017 is collected from a famous online crowdfunding platform – Zhongchou.cn in China and the negative binomial panel data model with fixed effect is used to obtain our empirical results.

The findings demonstrate that the work of different signals is significantly effective at the early stage of a project and decreases with time. Furthermore, our results show that there are both synergistic effect and substitution effect among different signals. Specifically, the direction of interaction effect depends on the forms of signals and the backers’ sensitivity toward that signal, and the interaction effects are also dynamic.

This paper has shed light on the roles of different signal types and their interactions in influencing funding behavior over a project-funding cycle, enriched the literature on crowdfunding and provided both theoretical and practical implications.

The purpose of this study is to unfold the role of managerial characteristics in developing the dynamic capabilities necessary to serve foreign customers and compete in export market ventures.

The authors test their proposed model using path analysis with data collected from export managers working in 204 small- and medium-sized Turkish exporters operating in various sectors.

The findings suggest that the positive effect of export managers’ process thinking skills on dynamic capabilities increases when the export managers’ learning and avoid orientations are low and prove orientation is high and export venture experience (duration and scope) increases. In addition, it has been found that export managers’ process thinking skills have an indirect effect on export performance through export venture dynamic capabilities.

This study makes three contributions. First, the authors conceptualize and operationalize dynamic capabilities in the context of exporting. The authors empirically validate export venture dynamic capabilities as a higher-level construct composed of sensing, seizing and reconfiguring elements pertinent to the firm’s export market operations. Second, based on the micro-foundations approach of competitive advantage, the authors study managers’ process thinking skills in exporting firms and how these abilities support dynamic capability development in export ventures. Finally, the authors investigate how the impact of export managers’ process thinking skills on export venture dynamic capabilities is influenced by their goal orientations and certain objective exporter characteristics pertaining to different aspects of export venture experience.

This paper aims to examine the dynamic nexus between corporate governance (CG) and firm performance in hybrid model countries. It also investigates the effect of horizontal agency conflicts on CG adherence.

This research uses vector autoregression methods and dynamic panels to examine the cross-sectional and longitudinal association between CG and performance, using three CG adherence indexes of transparency, management and board governance. The data set includes annual market and firm performance data from a sample of 93 companies trading in the Mexican stock market for the period 2010–2016.

This study finds evidence of dynamic interdependence between CG and firm performance, as well as weak effects of CG adherence on firms’ performance. The adverse effect of increasing return on equity and return on assets (ROE-ROA) gaps on CG adherence, which results from agency conflicts and insider ownership, is likely behind the weak association between CG and firm performance.

The findings in this study provide evidence that hybrid systems weaken the nexus between CG and firm performance. The propensity to prefer banking and bond debt to issuing stocks, as indicated by a greater ROE-ROA gap, points to favorable provisions for majority shareholders, adverse normative environments for minority shareholders and a low level of compliance with CG measures, among other problems.

China's New Rural Pension Program (NRPP) has been implemented for a decade, but the factors that facilitate rural residents' participation have received little attention. This study aims to investigate whether financial literacy has an influence on rural residents' behavior of participation in the NRPP. In particular, this study further verifies if high financial literacy is important and whether financial education can enhance the impact of financial literacy on current, long-term and dynamic pension decisions of rural households.

This study investigates the impact of financial literacy on rural residents' participation in China's NRPP using the China Household Financial Survey (CHFS) Data of 2015 and 2017. This study constructs an analytical framework for current, long-term and dynamic impacts and comprehensively analyzes the value of financial literacy in the decision making of the NRPP. This study uses the instrumental variable method to solve the possible endogeneity problem. In addition, the authors also demonstrate the positive role of high financial literacy in household pension decisions. Further analysis reveals gender and regional heterogeneity in the impact of financial literacy on pension decisions. The moderating effect model explores whether financial education has a significant moderating effect on financial literacy and pension decision making of the NRPP.

Financial literacy can improve the participation behavior of households in rural areas (dynamic effect) and promote their current and long-term participation in the NRPP, choosing a higher pension contribution level in the NRPP. However, financial literacy has no significant effect on the change in the contribution amount of the NRPP. Further research finds that high financial literacy has comparative advantages in household pension decision making in rural areas. There are gender and regional differences in the impact of financial literacy on pension decisions. In addition, effective financial literacy education enhances the current, long-term and dynamic impacts of residents' financial literacy on NRPP participation and pension contributions.

This study comprehensively considers the impact of financial literacy on pension decision making behavior from three aspects: current, long-term and dynamic, making up for the dearth in the existing literature that only focuses on the impact of financial literacy on current financial behaviors and bridging the gap between the theoretical framework and experimental results. Our study proposes new policy implications: (1) Governments and financial institutions should pay attention to financial literacy and education levels in rural areas and carry out financial education and training programs to increase social welfare levels by increasing rural residents' participation and pension contribution. (2) The community can strengthen the policy advocacy of the NRPP and make people develop a stronger sense of trust toward it. The government can also subsidize individual accounts through financial support.

This study comprehensively considers the impact of financial literacy on pension decision-making behavior from three aspects: current, long-term and dynamic, making up for the dearth in the existing literature that only focuses on the impact of financial literacy on current financial behaviors and bridging the gap between the theoretical framework and experimental results. Our study proposes new policy implications: (1) Governments and financial institutions should pay attention to financial literacy and education levels in rural areas and carry out financial education and training programs to increase social welfare levels by increasing rural residents' participation and pension contribution. (2) The community can strengthen the policy advocacy of the NRPP and make people develop a stronger sense of trust toward it. The government can also subsidize individual accounts through financial support.

As the carrier of knowledge, intellectual capital plays a crucial role in technology capability. However, most of the previous studies focus on technological capability from a static perspective, rather than take dynamic technology capability into consideration. Based on this research gap, the purpose of this paper is to investigate the effects of intellectual capital and its sub-dimensions on dynamic technology capability, measuring by the factor scores of five technological input and output variables.

The authors combine the system dynamic method and empirical study to guarantee the internal and external validity. Specifically, the authors design the system dynamic model and simulation to analyze the system mechanism of intellectual capital and its sub-dimensions on dynamic technology capabilities from four cause and effect feedback loops. Then, the authors propose eight hypotheses based on this system dynamic model. In the empirical test phase, the authors employed a panel data set pertaining to Chinese manufacturing firms from 2007 to 2017, and adopted the fixed effect panel model according to Hausman test.

The authors find that intellectual capital efficiency (ICE) and its sub-dimensions (i.e. human capital efficiency, organizational capital efficiency and capital employed efficiency (CEE) have significantly positive impacts on dynamic technology capability. The results also show that the positive effects of ICE and OC on dynamic technology capability would be strengthened in state-owned enterprises compared with non-state-owned enterprises, while this moderation effect is weakened on the relationship between CEE and dynamic technology capability.

In this study, the authors first introduce the system dynamic method to explore the relationship of intellectual capital and dynamic technology capability, which is a valuable trial on combining system science and empirical study. Additionally, the authors continue to expand the dynamic technology capability from the intellectual capital perspective, and also find the moderating effect from the ownership aspect. It is beneficial to the theoretical development of intellectual capital and dynamic technology capability. Furthermore, the authors provide significant inspirations and implications for enterprise’s managers.

With the focus on the context of small and medium-sized enterprises (SMEs), this study aims to investigate the joint effects of entrepreneurial leadership, entrepreneurial orientation and dynamic capabilities and the mechanisms of how these factors influence firm performance.

A survey from 319 managers in information and communications technology SMEs in Vietnam was conducted, and structural equation modeling was adopted to analyze the collected data.

The results confirm that dynamic capabilities directly influence firm performance and serve as a mediator that connects entrepreneurial leadership and entrepreneurial orientation with firm performance. Additionally, entrepreneurial leadership was found to have a significant positive impact on entrepreneurial orientation.

This research augments the understanding of entrepreneurship and dynamic capabilities literature by examining the joint effects and mechanisms of how entrepreneurial leadership, entrepreneurial orientation and dynamic capabilities interact to enhance SMEs' performance. Furthermore, this study provides empirical evidence of the strategies that SMEs should pursue to attain favorable performance outcomes.