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The authors construct two time-varying political connection (PC) indexes to measure a firm's political tendencies toward ruling and opposing parties and analyze whether a firm with ruling party tendencies obtains better bank loan contracts compared to the contracts obtained by a firm with opposing party tendencies and a firm with fixed PC tendencies.

Linguistic text mining is used to construct the two time-varying PC indexes from news sources that reflect the tone and frequencies of characteristic texts to determine a firm's tendencies to favor the ruling or opposing parties.

The results show that varying PC firms connected to the ruling party receive preferential loan contracts when their political tendencies increase but varying PC firms connected to the opposition party do not. In contrast, fixed PC firms gain similar benefits only when the connection is determined in the presidential election year but not in other years. Firms supporting two parties receive minimal financial rewards in terms of loan terms.

In past studies, once a firm is identified as having a connection with a political party, it is assumed to have PC throughout the sample period (i.e. fixed PC firms). The authors lift this assumption and examine how varying PC affect bank loan contracts. The two time-varying PC indexes can identify a firm's more immediate party tendencies and more precise effects of a firm's party tendencies on bank loan contracts.

The purpose of this paper is to systematically consolidate and analyze papers in behavioral finance in the past 20 years, and to provide an overall introduction to scholars and professionals in the industry who may be interested in behavioral finance in the future.

The research is based on searching keywords in databases of ISI Web of Science (WOS). Survey data covers the period from 1995 to 2013, with 124 journals and 347 articles. The authors are committed to finding the number of publications and times cited in the field of behavioral finance to measure the contribution of active researchers.

More research papers in behavioral finance are emerging, making it a significant area of study. Most of the papers can be classified as empirical or theory. The number of papers in the review class should be increased to assist scholars and professionals in understanding behavioral finance and its application. A number of personal and institutional main contributors have been making a considerable impact on the field of behavioral finance. With the vigorous development of financial markets all around the world, more and more scholars are becoming involved in behavioral finance research.

Articles published earlier than 1995 or not included in the WOS database cannot be included in the research; however, this does not diminish the contribution of older scholars in any way. Moreover, the research does not include non-SCI/SSCI articles.

Unlike a traditional literature review, which classifies and elaborates different research paths (Subrahmanyam, 2007), the research adopts the ISI WOS database as a tool for analysis. This new literature review methodology enables us to systematically consolidate and analyze papers in behavioral finance.

This paper aims to investigate how the contextual marketing strategy facilitated by mobile technology enhances consumers’ purchase intention and experiential quality in a hedonic service setting – museum. Specifically, this study explores the impacts of a context-triggered push notification promoting context-related souvenirs embedded in the museum mobile app on visitors’ souvenir purchase intention and visit experience.

This study adopted a scenario-based experimental design with video stimuli and a follow-up survey questionnaire. A total of 151 participants were randomly assigned to one of the two art museum visiting scenarios (i.e. with vs without the in-app push notification). A series of one-way ANOVA comparisons and serial mediation tests were conducted for hypotheses testing.

The results show that the mobile app promoting context-related souvenirs positively affects museum visitors’ souvenir purchase intention without undermining their experiential quality. The serial mediation effects through contextual perceived value and impulse buying tendency further explain how the in-app push notification influences visitors’ souvenir purchase intention.

This study extends the contextual marketing research to a unique service domain (i.e. museum) and contributes to the service technology literature. The findings present empirical evidence for the effectiveness of mobile contextual marketing and its potential to enhance consumers’ experiential quality in a hedonic service setting. The current research provides practical guidelines to both the museum management and mobile app developers.

Despite the widespread use of mobile government (m-government) services in developed countries, the adoption and acceptance of m-government services among citizens in developing countries is relatively low. The purpose of this study is to explore the most critical determinants of acceptance and use of m-government services in a developing country context.

The unified theory of acceptance and use of technology (UTAUT) extended with perceived mobility and mobile communication services (MCS) was used as the theoretical framework. Data was collected from 216 m-government users across Bangladesh and analyzed in two stages. First, structural equation modeling (SEM) was used to identify significant determinants affecting users' acceptance of m-government services. In the second stage, a neural network model was used to validate SEM results and determine the relative importance of the determinants of acceptance of m-government services.

The results show that facilitating conditions and performance expectancy are the two important precedents of behavioral intention to use m-government services, and performance expectancy mediates the relationship between MCS, mobility and the intention to use m-government services.

Academically, this study extended and validated the underlying concept of UTAUT to capture the adoption behavior of individuals in a different cultural context. In particular, MCS might be the most critical antecedent towards mobile application studies. From a practical perspective, this study may provide valuable guidelines to government policymakers and system developers towards the development and effective implementation of m-government systems.

This study has contributed to the existing, but limited, literature on m-government service adoption in the context of a developing country. The predictive modeling approach is an innovative approach in the field of technology adoption.

To empirically investigate whether consumers who have adopted online grocery buying perceive this way of shopping differently from other online consumers.

The data presented in this study were collected from an online (web‐based) survey of US consumers using self‐administered questionnaires. Data from 784 US online consumers are analyzed.

Multiple discriminant results suggest that online grocery shopping adopters attach higher compatibility, higher relative advantage, more positive social norms, and lower complexity to internet grocery shopping both compared with consumers who have never bought anything on the internet yet and also compared with consumers who have purchased goods/services on the internet but not groceries. The results also suggest that online grocery shopping adopters have higher household incomes than non‐adopters.

This research used a single respondent as a household representative. Since grocery buying concerns the entire household, this procedure assumes that the selected respondent provides answers which are representative of the household's opinion.

Provides practical advice to online retail managers on how to attract different consumer online grocery segments.

This paper investigates both experienced and inexperienced online grocery consumers. Thereby the paper adds to the understanding on how different groups of online consumers perceive characteristics of the online grocery channel.

The purpose of this paper is to enhance the understanding on the electrodeposition of various lead (Pb)‐free solder alloys, so that new studies can be carried out to solve processing issues.

The paper reviews the available reports on the electrodeposition of tin (Sn)‐based solder systems and identifies the challenges in this area.

Compositional control remains a major challenge in this area, where the achievement of desired composition for binary and ternary alloys is subjected to uncertainties. The use of chelating agents in the bath and optimization of parameters can assist the achievement of near‐desired alloy composition. Acidic plating baths are preferred due to their compatibility with photoresists but oxidation of stannous ions causes poor bath stability. Antioxidants, reducing agents and low oxygen overpotential anodes can suppress the oxidation rate and increase the lifespan of plating baths. Apart from chelating agents and antioxidants, various categories of additives can be added to improve quality of deposits. Surfactants, grain refiners and brighteners are routinely used to obtain smooth, fine‐grained and bright deposits with good thermo‐mechanical properties.

The paper provides information on the key issues in electrodeposition of Pb‐free solder alloys. Possible measures to alleviate the issues are suggested so that the electrodeposition technique can be established for mass production of a wider range of solder alloys.

This empirical study investigated the relationships among leisure behaviors and life satisfaction of Thai labors in Taiwan. Convenience sampling and several statistical techniques were adopted. The key findings were (1) Leisure preference, participation, constraint, satisfaction, and overall life satisfaction are influenced by one's socioeconomic background. (2) Because of living in a new country, Thai labors' past and current leisure participations although are strongly related, they are different. In addition, the relation between their leisure preference and participation was found significant when living in Thailand but not when living in Taiwan. (3) The constraints preventing Thai labors from participating in leisure activities in Taiwan were found. They significantly reduced one's leisure participation and satisfaction. (4) A positive relationship between Thai labors' leisure participation and leisure satisfaction in Taiwan was found along with the finding that their leisure satisfaction was also positively related to their life satisfaction.

The purpose of this paper is to discuss the emerging and innovative technologies which integrate together to form smart libraries. Smart libraries are the new generation libraries, which work with the amalgamation of smart technologies, smart users and smart services.

An extensive review of literature on “smart libraries” was carried to ascertain the emerging technologies in the smart library domain. Clarivate Analytic’s Web of Science and Sciverse Scopus were explored initially to ascertain the extent of literature published on Smart Libraries and their varied aspects. Literature was searched against various keywords like smart libraries, smart technologies, Internet of Things (IoT), Electronic resource management (ERM), Data mining, Artificial intelligence (AI), Ambient intelligence, Blockchain Technology and Augmented Reality. Later on, the works citing the literature on Smart Libraries were also explored to visualize a broad spectrum of emerging concepts about this growing trend in libraries.

The study confirms that smart libraries are becoming smarter with the emerging smart technologies, which enhances their working capabilities and satisfies the users associated with them. Implementing the smart technologies in the libraries has bridged the gap between the services offered by the libraries and the rapidly changing and competing needs of the humans.

The paper highlights the emerging smart technologies in smart libraries and how they influence the efficiency of libraries in terms of users, services and technological integration.

The paper tries to highlight the current technologies in the smart library set-ups for the efficient working of library set-ups.

The purpose of this study is to explore the dimensional structure of the SERVQUAL scale within non-western service setting as well as the impact of service quality dimensions on customer satisfaction and loyalty.

A quantitative approach was employed, using 32-item, seven-point Likert-scaled questionnaire administered to 384 participants with 55.99 per cent usable response rate. Data were analysed using exploratory factor analysis, Cronbach’s internal consistency and γ test to, respectively, measure scale suitability, usability and strength/direction of association.

The outcome from the study was the reduction of the 32 items to 26 scale items with 0.929 total α score. Further outcomes show that service quality dimensions are significant predictors of customer satisfaction and loyalty with the commitment dimension accounting for the highest degree of this impact.

Findings failed to corroborate past research as it was established that distinct efforts to measure customer satisfaction and loyalty within non-western service contexts proved to be less useful. However, outcomes cannot be generalized and as such, the modified scale that emerged from this research should receive more rigorous tests in other emerging services contexts.

Automobile repair services firms within Ebonyi State will be better placed in their strategic responses to customer loyalty if they boost customers’ satisfaction through excellent service quality improvement actions.

The best way to enhance the welfare of the consumers of automobile repair services in Ebonyi State is by improving the empathy, tangibles, responsiveness, reliability and commitment dimensions of service quality.

The paper demonstrates that the commitment dimension of service quality emerged as the most significant predictor of customer satisfaction and loyalty. The research also demonstrates that satisfied customers will definitely be loyal because a distinct effort to measure customer satisfaction and loyalty was found to be less useful.

This paper aims, first, to examine artificial intelligence (AI) vs human delivery of financial advice; second, to examine the serial mediating roles of emotion and trust between AI use in the financial service industry and their impact upon marketing outcomes including word of mouth (WOM) and brand attitude; and third, to examine how political ideology moderates' consumers' reactions to AI financial service delivery.

A review of the extant literature is conducted, yielding seven hypotheses underpinned by affect-as-information theory. The hypotheses are tested via three online scenario-based experiments (n = 801) using Process Macro.

The results of the three experiments reveal consumers experience lower levels of positive emotions, specifically, affection, when financial advice is provided by AI in comparison to human employees. Secondly, across the three experiments, conservative consumers are shown to perceive somewhat similar levels of affection in financial advice provided by AI and human employees. Whereas liberal consumers perceive significantly lower levels of affection when serviced by AI in comparison to conservatives and human employee financial advice. Thirdly, results reveal affection and trust to be serial mediators which explain consumers' WOM and brand attitudes when financial services are provided by AI. Fourthly, the investment type plays an important role in consumers’ reactions to the use of AI.

To the best of the authors’ knowledge, this research is one of the first to study political ideology as a potential moderator of consumers’ responses to AI in financial services, providing novel contributions to the literature. It further contributes unique insights by examining emotional responses to AI and human financial advice for different amounts and types of investments using a comprehensive approach of examining both valence and discrete emotions to identify affection as a key explanatory emotion. The study further sheds insights relating to how emotions (affection) and trust mediate the relationship between AI and WOM, and brand attitudes, demonstrating an affect-attitude psychological sequence that explains consumers’ reactions to AI in financial services.