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The purpose of this paper is to initially use a stochastic model to fit data of customer behavior stickiness and customer value, then estimate the corresponding parameters and use Bayesian rule to calculate its mathematical expectation.

The authors use expectations of customer behavior stickiness as an independent variable, expectations of customer value as a dependent variable, motivations of consumption as moderator and conduct regression analysis to research the relationship among the three. First, we will use the data of behavior for customer network shopping in the questionnaire to establish the random probability model and forecast. Second, we calculate the expected customer behavior stickiness and customer value. Finally, we use resurvey data of 100 subjects after three months (selected randomly from 373 objects) to test the model prediction.

The findings show that customer behavior stickiness has a significant effect on customer value, and the moderating effect of the hedonic motivation of consumption on the relationship above is proved. The value of customers who hold high hedonic motivation of consumption is mainly driven from website’s single visit time, whereas the value of customers who hold low or middle hedonic motivation of consumption is mainly driven from a website’s visit frequency.

The paper proves and quantifies the effects of the customer behavior stickiness for customer value in times of behavior. The results prove the moderation role of consumer motivation of the customer for the path of customer behavior stickiness→customer value, and make clear that the hedonic motivation is a necessary condition of average site visit time that has a significant impact on customer value.

The provision of high-quality e-Government services requires efficient and collaborative sharing of data across varied types of government agencies. However, interagency government data sharing (IDS) is not always spontaneous, active and unconditional. Adopting a stickiness theory, this paper reports on a research study, which explores the causes of data stickiness in IDS.

This study employed an inductive case study approach. Twenty-three officials from the government of City M in Hubei Province, Central China, were approached and interviewed using a semi-structured question script.

The analysis of the interview data pointed to 27 causes of data stickiness in five main themes: data sharing willingness; data sharing ability; data articulatability; data residence; and data absorptive capacity. The analysis revealed that interagency tensions and lack of preparedness of individual agencies are the main causes of data stickiness in IDS.

The case setting is based on China's Government, but the findings offer useful insights and indications that can be shared across international borders.

The literature suggests that management discretion to adjust resources in response to changes in sales can create asymmetric cost behavior and management incentives to move stock prices can influence its decision to release management earnings forecasts (MEF). The purpose of this paper is to investigate the association between a firm’s degree of cost stickiness and its propensity to release MEF. The authors propose that both MEF and cost stickiness are influenced by management strategic choices and provide two possible explanations along with supportive evidence. First, when management is optimistic about future performance, it tends to increase both cost stickiness and is willing to disclose the optimistic expectations through MEF. Second, cost stickiness increases information asymmetry between management and investors, thus management tends to issue earnings forecast to mitigate the perceived information asymmetry.

The authors collect firm-level fundamental data from the COMPUSTAT database, and market data from the CRSP database during 2005 and 2016. The data used to measure variables related to institutional ownership and financial analysts are, respectively, obtained from the Thomson Reuters and the I/B/E/S databases. The quarterly MEF data are from two databases. The authors obtain the data before 2012 the from Thomson First Call’s Company Issued Guidance database and manually collect the data between 2012 and 2016 from the Bloomberg database for the largest 3,000 publicly traded US companies. The measurement of cost stickiness is based on the industry-level measurement developed by Anderson et al. (2003) and the firm-level measurements developed by Weiss (2010). The authors construct two measurements, management’s propensity to issue MEF and the frequency of MEF, to capture management’s voluntary disclosure strategy.

The analyses of a sample between year 2005 and 2016, indicate that the firm-level cost stickiness is positively associated with the firm’s propensity to issue MEF and the frequency of MEF. Moreover, the authors find that the level of cost stickiness is associated with more favorable earnings news forecasted by management. Additional tests suggest that both information asymmetry and managerial optimism may explain the relationship between cost stickiness and MEF. Finally, the authors find that the association between cost stickiness and MEF behaviors is more pronounced when the resource adjustment cost is high and when the firm efficiency is high. The results are robust after using alternative measurements of cost stickiness and MEF.

First, this paper attempts to build a bridge between managerial accounting and financial accounting by providing evidence of managerial incentives and discretions that affect both cost structure and earnings. The authors contribute to, and complement, prior studies that primarily disentangle the complicated accounting information system by focusing on either the internal information system or the external information system. Second, the paper complements prior studies that examine cost stickiness and its determinants of asymmetric cost behavior by providing additional evidence for the value-relevance of cost stickiness strategy and its link to MEF releases in mitigating information asymmetry. Third, the findings are also relevant to current debates among policymakers, academia and practitioners regarding modernization of mandatory and voluntary disclosures through discussing the managerial incentive behind the managerial disclosure strategies as reflected in MEF releases (SEC, 2013). Fourth, the authors provide evidence regarding management’s role in influencing cost asymmetry and MEF releases, which support the theoretical argument that management discretions affect the firms’ cost structure and MEF disclosures.

The continuous impact of the pandemic and the downturn of the global economy have brought new challenges to the tourism industry. In this context, effectively attracting consumers and improving user stickiness are the top priorities of tourism platform companies. This study explores the impact of ethical concerns raised by new issues under the multi-governance environment on user stickiness. Based on the trust theory, the authors provide solutions for tourism platforms.

This study adopted a quantitative approach, gathering survey data via an online platform. A total of 400 participants were investigated, and 356 valid questionnaires were returned, with a recovery rate of 89%. Questionnaires that did not meet the inclusion criteria were excluded, leaving 298 valid responses.

Studies have found that consumers' ethical concerns about platform companies are key factors affecting user stickiness, and among these, consumer trust plays a mediating role. They have found that corporate social responsibility (CSR) behaviours help alleviate ethical concerns and improve trust in enterprises. At the same time, enterprises should properly control the number of platform collaborators, and excessive platform cooperation negatively moderates the impact of consumer ethical concerns on competence-based trust.

This study complements the deficiency of previous research with regard to ethical concerns in a multi-governance environment. These findings indicate that subject diversity exacerbates the negative impact of ethical concerns on consumer trust; however, CSR alleviates the impact of ethical concerns on consumer trust.

The purpose of this paper is to study the regularity of the e-commerce customer repeat purchase behavior, and provide new ideas and methods for e-commerce vendor’s e-commerce customer management.

Through analysis of the priority in activity mechanism and new customers’ dynamic growth in customer’s purchase behavior, this paper builds a model of the customer’s purchase frequency, which can be verified by the empirical data gathered from www.taobao.com, www.jd.com, www.yhd.com and www.amazon.com.

This paper discovers the regularity that the customer’s purchase frequency obeys power law distribution. Empirical data show that this model can represent the real repeat purchase process well. At the same time, it provides the theoretical basis for the vendor regional management by introducing the concept of stickiness and the corresponding methods of calculation.

This study only focuses on the basic model of e-commerce customer’s repeat purchase and lack of study on influence factors about the characteristics of different vendors and it needs to make extensions considering fluctuation of new customers, or customer aging and loss.

This study provides a theoretical basis for vendor to take different marketing strategies through classifying customers based on the characteristic of purchase stickiness.

The definition and calculation method of purchase stickiness is put forward for the first time, and the value of purchase stickiness changes with the number of purchase. It provides the theoretical basis for the vendor regional management, and will be good for further studying the e-commerce market about customer’s purchase behavior.

Social commerce (s-commerce) has gained widespread popularity as a social platform where customers engage in resource-sharing activities such as information exchange, advice-seeking and expressing their opinions on mutual interests. However, existing studies have not fully comprehended the drivers of electronic customer-to-customer interaction (eCCI) and how such behavior contributes to the customer “stick” on s-commerce sites. This study develops the Motivation–Opportunity–Ability (MOA) theory and investigates the impact of MOA factors on eCCI, which in turn affects customer stickiness.

A survey was used to acquire data from 455 valid respondents, and the research employed a combination of fuzzy-set qualitative comparative analysis (fsQCA) and structural equation modeling.

The results revealed associations between perceived self-efficacy, intrinsic motivation, tie strength with other customers, eCCI and customer stickiness.

Considering the limited availability of complete eCCI frameworks in existing scholarly works, the authors present valuable perspectives on the role of consumer characteristics as both antecedents and consequences of eCCI. Additionally, this study proposes a research agenda for the field of eCCI on s-commerce sites.

The aim of this study is to explore, identify and understand the impact of technology affordance in the context of social networking sites (SNSs). Moreover, this study incorporates user experience as a moderator, in order to explore behavioral differences between veterans (high-experience users) and newbies (low-experience users).

A research model was developed to examine the influences of three technology affordances: interactivity, information and navigation on user satisfaction and SNS stickiness. Totally 266 data were collected from a famous college in China using an online survey, and structural equation modeling technique was used to examine the proposed research model.

The empirical research findings indicated that the three technology affordance attributes exhibited different degrees of influence on user satisfaction, which in turn facilitated SNS stickiness. Particularly, high-experience users were more likely influenced by interactivity and information affordances, while low-experience users are more susceptible to navigation affordance.

This study can provide guidelines to the platform administrators to design SNSs from the aspects of interactivity, information and navigation attributes and pay attention to the preference differences between high-experience users and low-experience users.

This study uncovers the significant antecedents of SNS stickiness from a technology affordance lens and reveals the moderating effect of user experience on the relationship between three technology affordance attributes and satisfaction.

This paper aims to investigate the impact of cost stickiness on conditional conservatism.

The research sample consists of listed companies from 18 countries, using stock market indices of the BRICS, MIST, North Africa, USA and EU over the period ranging from 1997 to 2015. The authors use the firm-fixed effects method in the estimation of the models.

The results provide evidence of the existence of cost stickiness and conditional conservatism in the international context, using the Banker et al. (2016) model. They also argue that the conditional conservatism model (Basu, 1997) is overstated because it does not control for cost stickiness. In additional analyses, the authors conclude that the association between cost stickiness and accounting conservatism changes across country groups and across industries. The authors also document that the employee intensity and free cash-flow, as cost stickiness determinants, remain significant in the model including accounting conservatism. Moreover, the findings show that sticky cost behavior distorts inferences about standard demand drivers of conservatism such as leverage and size.

The findings are interesting and provide a better understanding of cost stickiness and conditional conservatism, and the interaction between these two phenomena in the international context, across country groups and across industries. To the best of the author’s knowledge, the study is the first one including free cash flow as a proxy for agency problem in the full model combining conservatism and cost stickiness models (Banker et al., 2016).

This paper aims to investigate whether firms strategically use retirement plans to retain employees with core competencies and whether offering these retirement plans provides competitive advantages that lead to greater profitability.

The data set consists of annual financial data reported to the US Department of Transportation by long haul truckload carriers. The paper uses linear regression analysis to test the hypotheses. Descriptive statistics, univariate comparisons and robustness tests are also reported.

The findings support the assertion that offering a retirement plan is positively related to the attraction and retention of skilled workers and that firms that offer retirement plans are more profitable.

Data limitations preclude proving a definitive causal relationship. With the increasing availability of rich and timely data sets at both the firm and employee levels, future research may enhance the understanding of the role that pensions play in both labor and firm productivity.

This study provides evidence that retirement plans may serve as a strategic tool in highly competitive industries characterized by high labor turnover. This study shows that by analyzing the degree of cost stickiness in income statement line-items, it is possible to bypass the need for more granular analyses to uncover meaningful economic relationships. Finally, this study contributes to the literature examining the implications of operating decisions for financial performance (a balanced scorecard perspective), and it shows that offering pension benefits is related to stronger financial performance.

We investigate the Bayesian approach to model comparison within a two-country framework with nominal rigidities using the workhorse New Keynesian open-economy model of Martínez-García and Wynne (2010). We discuss the trade-offs that monetary policy – characterized by a Taylor-type rule – faces in an interconnected world, with perfectly flexible exchange rates. We then use posterior model probabilities to evaluate the weight of evidence in support of such a model when estimated against more parsimonious specifications that either abstract from monetary frictions or assume autarky by means of controlled experiments that employ simulated data. We argue that Bayesian model comparison with posterior odds is sensitive to sample size and the choice of observable variables for estimation. We show that posterior model probabilities strongly penalize overfitting, which can lead us to favor a less parameterized model against the true data-generating process when the two become arbitrarily close to each other. We also illustrate that the spillovers from monetary policy across countries have an added confounding effect.