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Based on literature development, the purpose of this paper is to propose a conceptual framework and the theoretical model in order to examine the influence of leadership, organizational learning (OL), and organizational innovation (OI) in Taiwan’s financial and information technology industries.

Structural equation modeling is employed to evaluate the degree of influence each variable has on the others and whether their relationships differ in different industry. This study investigates a selection of firms from the top 100 financial and the top 1,000 high-technology enterprises in Taiwan in 2012 as the population. A total of 377 valid responses were collected from 2012 to 2013.

The research results indicate that OL acts as a full mediator between leadership and OI. Furthermore, industry type has moderating effect in the proposed research model.

Thus, considering appropriate leadership styles through learning to innovate might be a well leadership model to be further considered by different industries in the global countries.

In terms of service hospitality, recent discussions of value-in-use from the perspective of service-dominant logic have focused on the customer’s determination of value and control of the value creation process. The purpose of this paper is to extend these discussions by exploring the value creation process in the Western-style restaurant in Taiwan, which is developed value-in-eat creation for restaurants. In Taiwan, Western-style restaurants are as popular as Chinese restaurants because of globalization and cultural integration. However, to local restaurateurs and managers, managing a Western-style restaurant in terms of localization and hospitality on value-in-eat creation presents both academic and practical issues. Thus, this paper aims to investigate Western-style restaurant hospitality management alternatives on the value-in-eat creation process in Taiwan using a data mining approach.

Based on a market survey, a total of 1,187 questionnaires was incorporated into a database. The questionnaire design is divided into 7 parts with 35 items. All questions are designed as nominal and ordinal (not the Likert scale) scales. Data mining approach, including cluster analysis and association rules, cluster analysis is investigated possible customer profiles and association rules is implemented to explore customer preference patterns and rules on the value-in-eat creation process.

Data mining results show two patterns including Pattern 1: meal patterns and customer preferences for restaurant hospitality management and Pattern 2: customer relationship management (CRM) for restaurant hospitality management that customer profiles and preferences on meal patterns, service patterns and CRM are engaged to suggest effective Western restaurant hospitality management alternatives, such as proper bundles for restaurant types, meals, exotic atmosphere and services of hospitalities in terms of a value-in-eat creation process.

To the best of the authors’ knowledge, this study is the first study to investigate consumers’ behaviors in Western-style restaurants using the measurement of nominal and ordinal scale for questionnaire development and further to implement a data mining approach on selected data samples. In addition, this study illustrates the patterns/rules of Taiwan customer preferences that best explain the knowledge of how to manage Western-style restaurants from the perspective of customer hospitality using data mining.

在酒店服务领域, 近期的从服务主流逻辑为视角关于使用价值的讨论主要集中在消费者对价值的定义以及掌控价值创造的过程。本研究的主要目的是拓展这些相关的讨论从而发掘关于在台湾经营的西餐厅的顾客价值创造过程, 进而开发餐厅的饮食价值创造。由于全球化进程, 台湾的西餐厅和中餐厅同样受欢迎。然而, 对于本地的餐厅所有人和经营管理者来讲, 管理西餐厅关于价值创造过程中的地方化和服务管理还存在学术和实践问题。因此, 本文运用了数据挖掘的方法对西餐关于价值创造的另类途径进行了探索。

基于市场调研, 本研究导入了1187份问卷作为数据库。问卷由7部分35项条目组成。所有问题以称名量表和顺序量表（非李克特量表）测量。数据挖掘包括了聚类分析和关联分析。聚类分析用来分析消费者概况, 关联分析来探究顾客倾向以及饮食价值创造过程。

数据挖掘结果显示了两种模式, 1：食物以及顾客对餐厅的接待管理的偏爱以及模式, 2：客户关系管理包括顾客概况和对饮食模式的偏爱, 服务模式以及顾客关系维护的另类建议, 诸如适度的捆绑销售包括餐厅种类, 菜系, 异域风情的就餐环境以及服务来体现饮食价值创造的过程。

本研究是首次探索了用称名量表和顺序量来研发的消费者问卷并且运用了数据挖掘的方法研究了西餐厅的消费者行为。 此外, 本研究阐明了台湾消费者的偏爱模式从而更好的解释了如何用数据挖掘的方法来研究西餐厅的服务管理。

Line sticker, a social media, it allows users to exchange multimedia files and engage in one-to-one and one-to-many communication with text, pictures, animation and sound. The purpose of this paper is to examine various Taiwan user experiences in the Line sticker use behaviors. Further, this research looks at how the situations of Line sticker proprietors and their affiliates are disseminated for formulating social media marketing (SMM) in its business model concerns.

This study examines the experience of various Taiwanese Line stickers users utilizing a market survey, a total of 1,164 valid questionnaire data, and the questionnaire is divided into five sections with 30 items in terms of the database design. All questions use nominal and order scales. This study develops a big data analytics approach, including cluster analysis and association rules, based on a big data structure and a relational database.

The authors divide Taiwan Line sticker users into three clusters by their profiles and then find each group’s social media utilization and online purchase behaviors for investigating the Line sticker SMM and business models.

This is the first study to offer a big data analytics to investigate and analyze the varieties in the use of Line sticker by exploring users’ behaviors for further SMM and business model development.

This paper aims to empirically test individual, team and multi-level relationships among knowledge sharing (KS), leader–member exchange (LMX), employee creativity (EC) and team innovation (TI). The study tests how KS affects EC via LMX at lower and multi levels. At a higher level, how creativity affects TI is also tested.

Questionnaires were sent to 43 team leaders and 215 team members from the largest theme park in Taiwan, E-DA, who are engaged in offering creative and innovative customer services. Multilevel analysis was conducted based on the questionnaires received.

Major findings agree the contention that KS can improve EC via LMX at both employee and multi-level. The results also indicate that KS affects team creativity (TC) at the team level; however, TC and TI do not have a significant positive relationship.

The study examined how to enhance employees’ creativity from the individual and team levels in a theme park, an area with rare literature. The authors found that LMX is an important mediator between KS and EC. The mediated effect of KS on EC through LMX is higher in a cross level than individual level. In addition, a team’s KS has more effect on EC than the individual level.

The purpose of this paper is to test the mediating role of LMX in the relationship between knowledge sharing and employee creativity and the extent to which this mediating role is moderated by transactional psychological contract.

A total of 286 employees working at the theme park in Taiwan and then analyzed using a structuring equation model with SPSS 12.0, LISREL 8.8 and SPSS PROCESS.

Results suggested that LMX mediated the relationship between knowledge sharing and employee creativity. Also, results suggested that transactional psychological contract moderated this mediating pathway: low transactional psychological contract increases the mediating role of LMX. Furthermore, the study showed that LMX can buffer the negative effects of transactional psychological contract on employee creative performance.

The originality of this study is to explore whether there is a moderated mediation model relationship among research variables and contributed to the LMX literature because there are few studies to discuss how knowledge sharing might stimulate creative outcome through LMX.

An omni-channel is a retailing strategy that the behavior of companies adopts many retail channel types to combine and integrate cross-channel sales to meet the comprehensive needs of customers in shopping, entertainment and social networking both online and offline. This leads to several research questions of retailing omni-channel in this study. First, do channel brand trust (CBT) and store image (SI) affect re-patronage intentions through customer satisfaction (CS)? Second, regarding online rating (OR) and online involvement (OI), will CS be determined by consumer perception as well as the relevance of those attributes to the customer's re-patronage intentions? Third, do OR and OI have a role in exploring the moderating effect in the research model? Fourth, if there are positive effects from this relationship, it can generate a positive power return online. In addition, online-to-offline moves on a path for case firm omni-channel with customers' OR and OI with a reciprocal positive influence.

This study aims to investigate the relationship between CBT, SI, CS and re-patronize intention in an omni-channel. By using structural equation models (SEMs), this study aims to investigate offline-to-online and online-to-offline re-patronizing in the Taiwan Chunghwa Telecom (CHT) omni-channel (N = 1,642). Two moderated mediation models are investigated in this study.

This study first found that CBT and CS use SI to influence re-patronize intention in the omni-channel. SI plays a mediating role in this process; OR and OI influence the relationships of CBT, CS and re-patronize intention with two moderating roles.

This study first found that there is a reciprocal way with two paths in an omni-channel, starting with offline-to-online, in terms of confirming the relationship of CBT, CS and re-patronize intention in an omni-channel. There are positive effects from this relationship, and it can generate a positive power return online. In addition, we found that online-to-offline moves on a path that has a stronger influence of re-patronize intention for omni-channel with customers' OR and OI.

TikTok, a social media application (app), was originally positioned as a short music video community suitable for young users, and the app is user-generated content (UGC) short video of vertical music. Users can make their own creative videos. Following the rhythm of the music, users can shoot various video content, personal talents, life records, performances, dances, plot interpretations, etc. However, what are the profiles and preferences of TikTok users, whereby the social media app is mainly developed by UGC? What is the impact of TikTok on the development of social media? In addition, what is UGC's social media model for user interactions in social networks? The purpose of this paper is to address and study these proposed issues.

All questionnaire items are designed as nominal and ordinal scales (not Likert scale). The obtained data from questionnaires are put into the relational database (N = 2,011). This empirical study takes Taiwan TikTok users as the research object, implements data mining analytics to generate user profiles through clustering analysis and further uses association rules’ analysis to analyze social media apps in social network interaction and social apps’ development by proposing two patterns and several meaningful rules.

This study finds that social media apps is a valuable practical research topic on online social media development. In addition, besides the TikTok, the authors eagerly await subsequent research to provide more valuable findings of social media apps in both theory and practice.

This study presents the research evidences that social media apps such as TikTok will be able to transcend the current development pattern of social media and make good use of the media and technology innovation of apps in social development and social informatics.

As of December 2021, WeChat had more than 1.2 billion active users worldwide, making it the most active online social media in mainland China. The term social commerce is used to describe new online sales through a mix of social networks and/or peer-to-peer communication or marketing strategies in terms of allowing consumers to satisfy their shopping behaviour through online social media. Thus, given the numerous active users, the development of online social media and social commerce on WeChat is a critical issue of internet research.

This empirical study takes WeChat as the online social media research object. Questionnaires for WeChat users in China were designed and distributed. All items are designed as nominal and ordinal scales (not Likert scale). The obtained data was put into a relational database (N = 2,342), and different meaningful patterns and rules were examined through data mining analytics, including clustering analysis and association rules, to explore the role of WeChat in the development of online social media and social commerce.

Practical implications are presented according to the research findings of meaningful patterns and rules. In addition, alternatives to WeChat in terms of further development are also proposed according to the investigation findings of WeChat users’ behaviour and preferences in China.

This study concludes that online social media, such as WeChat, will be able to transcend the current development pattern of most online social media and make good use of investigating users’ behaviour and preferences, not only to stimulate the interaction of users in the social network, but also to create social commerce value in social sciences.

In the retailing industry, database is the time and place where a retail transaction is completed. E-business processes are increasingly adopting databases that can obtain in-depth customers and sales knowledge with the big data analysis. The specific big data analysis on a database system allows a retailer designing and implementing business process management (BPM) to maximize profits, minimize costs and satisfy customers on a business model. Thus, the research of big data analysis on the BPM in the retailing is a critical issue. The paper aims to discuss this issue.

This paper develops a database, ER model, and uses cluster analysis, C&R tree and the a priori algorithm as approaches to illustrate big data analysis/data mining results for generating business intelligence and process management, which then obtain customer knowledge from the case firm’s database system.

Big data analysis/data mining results such as customer profiles, product/brand display classifications and product/brand sales associations can be used to propose alternatives to the case firm for store layout and bundling sales business process and management development.

This research paper is an example to develop the BPM of database model and big data/data mining based on insights from big data analysis applications for store layout and bundling sales in the retailing industry.

In physical stores, consumer repurchase is the primary goal of retail operators. This includes many aspects of consumers' perceived value of a store, including images of goods, services, brands, atmosphere etc. Thus, repurchase intention in a physical store is a critical research issue to the retailer.

This study took Taiwan Chunghwa Telecom's 3C electronic channel stores as the research object to investigate Taiwanese consumers' repurchase intentions for communication service and 3C products in this chain's physical stores. This study aimed to investigate the mediating role of perceived value (PV) between consumers' channel brand image (CBI) and store image (SI) on repurchase intention (RI). It further examined how the moderated mediating role of electronic word-of-mouth (EWOM) strengthens the influence of consumers' channel brand and store image on repurchase intention through perceived value.

The research results found that perceived value played a fully mediating role and electronic word-of-mouth is the moderating role on the proposed theoretical model by investigating two moderated mediation models.

This study considered that CBI represents commodity value and SI is the overall satisfaction obtained from consumer services. Thus, both channel brand and SI are active decision variables for consumers to purchase and repurchase in a physical store. For the moderated mediating role of EWOM, this study found that the indirect effect of both CBI and SI on RI through PV is stronger at low degree of EWOM than at high degrees of EWOM.