Search results

To reduce costs, many banks have increased customer involvement during the creation and delivery of their products and services. Based on a job demands-resources (JD-R) model, this study tests an inverted U-shaped curvilinear relationship between perceived customer participation and employee work engagement. Customer orientation (CO) and service employee perceived fit with customers (PCF) moderate this relationship, which eventually affect both the internal and external benefits of service-employee work engagement.

The authors collected survey data from 518 service employees in the South Korean banking and insurance industries and analyzed the data using structural equation modeling (SEM).

The results indicate that perceived customer participation (PCP) has a significant inverted U-shape effect on work engagement. Results also suggest that CO and PCF have positive relationships with work engagement. In addition, they moderate the inverted U-shaped relationship between service employee PCP and work engagement, while work engagement positively affects organizational citizenship, job satisfaction and commitment.

The authors empirically identify a curvilinear effect of PCP on work engagement. In doing so, the authors introduce and operationalize the new construct: PCF and suggest PCF and CO as unique job resources for service employees. The authors also examine these constructs as predictors based on a motivational process and as moderators based on a strain (energetic) process.

From a managerial perspective, examining the curvilinear relationships of customer participation and work engagement suggests that front-line employees’ (FLEs’) PCP does not necessarily enhance the economic benefits of productivity gains by using customers as substitutes for portions of employee labor. Another finding with managerial relevance indicates that service employees, who have more CO and PCF, showed more tolerant attitudes toward unnecessary and excessive levels of customer participation and regarded it as a job resource.

This study explains that researchers must consider the positive and negative sides of customer participation simultaneously because frontline employee PCP can be changed depending on the level of participation provided by customers. This study also shows that CO can be assumed as a personal resource and PCF as an environmental resource in the work engagement process.

This study aims to investigate the effect of acquisition modes on customer behavioral loyalty to enrich our knowledge of the effectiveness of acquisition modes and how to better target customers in the service industry.

Using a data set from a large commercial bank in China, this study conducts a series of empirical analyses to examine the impacts of two types of acquisition modes (i.e. the gift acquisition mode and customer referral) on customer behavioral loyalty.

Gift acquisition has a negative effect on customer behavioral loyalty, as measured by the dropout probability, consumption amount and consumption frequency. Furthermore, this negative relationship could be weakened if the customer is referred by an existing customer.

Although prior studies have investigated the effectiveness of some acquisition modes in terms of customer loyalty, customer acquisition through the provision of gifts, which is widely implemented in marketing practice, has not been well investigated. This study addresses this research gap and identifies the joint influence of acquisition modes on customer behavioral loyalty, further enriching our knowledge of the effectiveness of different acquisition modes.

This study aims to establish a reliable index to identify interdisciplinary breakthrough innovation effectively. We constructed a new index, the D_Div index, for this purpose.

The D_Div index incorporates the degree of interdisciplinarity in the breakthrough index. To validate the index, a data set combining the publication records and citations of Nobel Prize laureates was divided into experimental and control groups. The validation methods included sensitivity analysis, correlation analysis and effectiveness analysis.

The sensitivity analysis demonstrated the D_Div index’s ability to differentiate interdisciplinary breakthrough papers from various categories of papers. This index not only retains the strengths of the existing index in identifying breakthrough innovation but also captures interdisciplinary characteristics. The correlation analysis revealed a significant correlation (correlation coefficient = 0.555) between the interdisciplinary attributes of scientific research and the occurrence of breakthrough innovation. The effectiveness analysis showed that the D_Div index reached the highest prediction accuracy of 0.8. Furthermore, the D_Div index outperforms the traditional DI index in terms of accuracy when it comes to identifying interdisciplinary breakthrough innovation.

This study proposed a practical and effective index that combines interdisciplinary and disruptive dimensions for detecting interdisciplinary breakthrough innovation. The identification and measurement of interdisciplinary breakthrough innovation play a crucial role in facilitating the integration of multidisciplinary knowledge, thereby accelerating the scientific breakthrough process.

Cross-app interactive search has become the new normal, but the characteristics of their tactic transitions are still unclear. This study investigated the transitions of daily search tactics during the cross-app interaction search process.

In total, 204 young participants' impressive cross-app search experiences in real daily situations were collected. The search tactics and tactic transition sequences in their search process were obtained by open coding. Statistical analysis and sequence analysis were used to analyze the frequently applied tactics, the frequency and probability of tactic transitions and the tactic transition sequences representing characteristics of tactic transitions occurring at the beginning, middle and ending phases. 

Creating the search statement (Creat), evaluating search results (EvalR), evaluating an individual item (EvalI) and keeping a record (Rec) were the most frequently applied tactics. The frequency and probability of transitions differed significantly between different tactic types. “Creat? EvalR? EvalI? Rec” is the typical path; Initiate the search in various ways and modifying the search statement were highlighted at the beginning phase; iteratively creating the search statement is highlighted in the middle phase; Moreover, utilization and feedback of information are highlighted at the ending phase. 

The present study shed new light on tactic transitions in the cross-app interactive environment to explore information search behaviour. The findings of this work provide targeted suggestions for optimizing APP query, browsing and monitoring systems.

This study aims to employ conservation of resources (COR) theory to explain how customer support, customer power, customer orientation (CO) and product complexity impact frontline employees (FLEs) work engagement.

Partial least square structural equation modeling (PLS-SEM) was used to analyze data collected from 1,620 South Korean insurance salespeople using an on-line survey.

Results show that customer support, customer power and CO will bring more FLEs work engagement, and product complexity negatively dilutes the work engagement gained from customer support.

The results of this study suggest that firms should encourage FLEs to share their experiences and tactics in dealing with customer power and stimulate supportive customer behaviors. Since complex products, particularly financial products, require more explanation and information exchange for customers to understand them, managers might include simulations, videos and role-playing in training programs to show salespeople how to handle customers when attempting to sell these products.

This study investigates the effects of customer cognitive and emotional support on FLEs work engagement and also empirically demonstrates the positive effects of customer power.

Since researchers have utilized text signals to develop a mass of within-document visualization analysis tools for reading aid in a long document, there is an increasing need to study the relationship between readers’ behavior of using text signals for navigation and their reading performance in the tools. The purpose of this paper is to combine the text signals using behavior and reading performance in two kinds of analysis tools to verify their relationship and discover whether there is any efficient reading strategy when using text signals to navigate a long document.

The methodology is a case study. The authors reviewed related literature first. After explaining the design ideas, interface and functions of THC-DAT and BOOKMARK, which are two reading tools utilizing two main kinds of text signals, one utilizing topics and the other utilizing headings for reading aid, a case study was presented to collect click data on the text signals of participants and their reading effectiveness (score) and efficiency (time).

The results confirm that the text signals using behavior for navigation has a significant impact on reading efficiency and no impact on reading effectiveness in both BOOKMARK and THC-DAT. The discrete degree of clicks behavior on text signals has an impact on reading efficiency. The using behavior of different types of text signals has different impacts on reading efficiency.

Using text signals for navigation time evenly can help improve reading efficiency. And a basic strategy suggested to readers is focusing on reducing their time to find answers when using text signals for navigation in a long document. As to utilizing the two different kinds of text signals, readers can have different strategies. Accordingly, personalized recommendation based on interval of adjacent clicks will help to improve computer-aided reading tools.

This paper combines the text signals using behavior for navigation and reading performance in two kinds of visual analysis tools, studied the relationship between them and discovers some efficient reading strategies when using text signals for navigation to read a long document.

The purpose of this study is to examine investors’ intention and behavior concerning ex ante information acquirement and ex post claims from the micro-level perspective with the deepening of the initial public offering (IPO) reform of China.

The authors made surveys and collected 932 valid questionnaires from investors in China. The authors also conducted interviews with sophisticated investors, investment bankers and government regulators to obtain first-hand information. Based on the survey results, the authors make the empirical analysis.

Investors’ attention to the first-hand information of the IPO prospectuses is inadequate. Individuals rely more on second-hand information, while institutions conduct more surveys. The higher the institutional practitioners’ degree of education, the more surveys they make. Only 1/3 investors intend to seek judicial remedy when getting fraud information due to high litigation costs and proof collecting difficulties. The investors who read more about prospectuses in advance are more likely to seek judicial protection afterwards. Compared with investors who know less about government administrative protection measures, those who know more have a low probability to choose “not to seek judicial protection.”

The authors enrich the research studies of IPO information acquisition and investor protection by conducting surveys to get first-hand data. Previous literature mostly makes empirical tests by using proxy variables.

This study aims to investigate the relationship between government subsidies, R&D expenditures and overcapacity, and to explore the heterogeneity effects in different time periods and different types of companies. It can provide theoretical and practical guidance for the development of the photovoltaic industry.

This paper constructs a mediation model to explore the impact of government subsidies on overcapacity and on R&D expenditures, and to propose an indirect way to disentangle the impact of government subsidies on the creation of overcapacity from the positive aspect of increased R&D expenditures. A total of 94 listed enterprises in the Chinese photovoltaic industry were selected as the sample over the period 2012–2019.

There was significant overcapacity in the photovoltaic industry. Government subsidies had a positive effect in promoting overcapacity and R&D expenditures. The influence of government subsidies on excess capacity increased and on R&D expenditures decreased over time. Compared with large enterprises, government subsidies the small enterprises received had a greater positive impact on the overcapacity and a smaller positive impact on R&D expenditure. R&D expenditures restrained the influence of government subsidies on overcapacity, but the suppression effect was limited and decreased over time. The indirect effect in small enterprises was greater than that of large enterprises.

This paper studied government subsidies, R&D expenditure and overcapacity in the same framework and used bias-corrected bootstrapping to explore the path of “government subsidies–R&D expenditures–overcapacity”. The heterogeneous effects in different periods and different types of firms are discussed.

The argument that terror perception and individual time perspectives can affect behaviors has become increasingly relevant. This study analyzed the association of terror perception with financial risk and developed an integrated framework of the interaction between terror perception (mortality salience) and time perspective to determine risky investment. People with different time perspectives have different acknowledgments of risk. Two studies of terror perception leading to more or less risky investment choices supported this framework to demonstrate that individuals exhibit more (less) risky investment behavior when terror perception is salient and they have a high (low) present hedonic time perspective.

Two experiments were performed. Study 1 tested whether TP moderates the effects of terror priming (aging) on risky financial investment. Study 2 tested the effects of terror priming on risky financial investment decisions and the role of gender and the present hedonic TP (PH) in moderating these effects. The following hypotheses were then developed: H1: Participants with high PH primed with the aging condition will select riskier financial investments than those with low PH will (Study 1). H2: Male participants with higher PH primed in the death condition will select riskier financial investments than those in the control condition will (Study 2).

Because people with different TPs acknowledge risk differently, this article developed a new framework modeling MS on TP in risky investment selection. Two studies representative of MS affecting risky investment decision-making were conducted to test the framework. The results of the two studies indicated that individuals engaged in risky investment behavior more (less) when mortality was salient and the individual had high (low) PH. Moreover, gender influences these results. As anticipated, male participants with higher PH in the death-primed condition selected riskier financial investment than those in the control condition did. Additional research from a broader perspective is warranted.

Many psychological factors of risky decision-making have been discussed, such as motivational systems or situational motivation, self-framing, control orientation, sensation seeking, dishonesty, and ambiguity (Sekścińska et al., 2016). However, few studies have examined temporal framing, also known as time perspective (TP), the psychological concept of a person's relationship with time. This study mainly discusses the effects of terror perception on risky financial decisions by using a theoretical framework based on TP, which influences the effects of MS on risky financial decision-making. When mortality is made salient, individuals with present hedonic TP have behaviors characterized by risk perception. Those with present hedonic TP are more likely to make risky financial investments because they prefer present pleasure and risk over future outcomes (Zimbardo and Boyd, 2015).

Social media texts as a data source in depression research have emerged as a significant convergence between Information Management and Public Health in recent years. This paper aims to sort out the depression-related study conducted on the text on social media, with particular attention to the research theme and methods.

The authors finally selected research articles published in Web of Science, Wiley, ACM Digital Library, EBSCO, IEEE Xplore and JMIR databases, covering 57 articles.

(1) According to the coding results, Depression Prediction and Linguistic Characteristics and Information Behavior are the two most popular themes. The theme of Patient Needs has progressed over the past few years. Still, there is a lesser focus on Stigma and Antidepressants. (2) Researchers prefer quantitative methods such as machine learning and statistical analysis to qualitative ones. (4) According to the analysis of the data collection platforms, more researchers used comprehensive social media sites like Reddit and Facebook than depression-specific communities like Sunforum and Alonelylife.

The authors recommend employing machine learning and statistical analysis to explore factors related to Stigmatization and Antidepressants thoroughly. Additionally, conducting mixed-methods studies incorporating data from diverse sources would be valuable. Such approaches would provide insights beneficial to policymakers and pharmaceutical companies seeking a comprehensive understanding of depression.

This article signifies a pioneering effort in systematically gathering and examining the themes and methodologies within the intersection of health-related texts on social media and depression.