Firm‐ and Individual‐Level Determinants of Balanced Scorecard Usage*/DÉTERMINANTS DE L'USAGE DU TABLEAU DE BORD ÉQUILIBRÉ AU DOUBLE ÉCHELON ORGANISATIONNEL ET INDIVIDUEL

The factors influencing the organizational as well as the individual decision to utilize the balanced scorecard (BSC) approach have not been widely researched. In the first part of this paper, we study BSC adoption at the organizational level while utilizing a multifaceted perspective of socio‐psychological, economic, and resource‐based influences; specifically, we investigate the perceptions of desirability, urgency, and feasibility of BSC adoption. Our findings show that customer norms, competitor norms, and organizational resources are significant predictors of BSC adoption. In the second part of the paper, we discuss individual‐level aspects of utilization decisions. Here, we explore the impact of perceived ease of use, perceived usefulness, and awareness on the intentions to use the BSC approach. Our findings show that both awareness of BSC capabilities and perceived ease of use are significantly related to perceived usefulness. However, only perceived usefulness is significantly related to intentions to use the BSC. Implications for research and practice are discussed.     

Consumer adoption of the Uber mobile application: Insights from diffusion of innovation theory and technology acceptance model

ABSTRACT

The sharing economy literature has largely concentrated on the examination of peer-to-peer accommodation platforms such as Airbnb, with little attention paid on other innovations in collaborative consumption. This study investigates consumer adoption of the Uber mobile application through lenses of two theoretical models – Diffusion of Innovation Theory and Technology Acceptance Model. The results suggest that relative advantage, compatibility, complexity, observability, and social influence have a significant influence on both perceived usefulness and perceived ease of use, which in turn lead to subsequent consumer attitudes and adoption intentions. This study demonstrates the integration of the two classic adoption theories.     

关于债券凸性对冲的构造及检验

债券是人们重要的投资工具之一，在进行投资分析过程中，投资者会运用债券的久期、凸度等指标来衡量债券的利率风险。在投资过程中，投资者可以运用这些指标来构造债券的组合，实现凸性对冲。本文根据凸性对冲的原理：提出了构造债券组合一种方法，并利用最近债券市场的交易数据进行检验，发现确实存在凸性对冲的机会。     

Hybrid MADM-based study of key risk factors in house-for-pension reverse mortgage lending in Taiwan's banking industry

The issue of financial problems among the elderly has garnered the attention of multiple generations. In 2018, Taiwan formally attained an ageing society status. In order to address the financial difficulties elderly people face, an annuity system reform was launched by the Taiwanese government. Reverse mortgage lending, which is performed on the basis of house-for-pension, is an alternate method for enhancing their standard of living and sustaining their financial stability. The elderly applicants often mortgage their properties to financial institutions in order to maintain a steady cash flow for the fulfilment of their daily needs and live their remaining years in the mortgaged properties without vacating. Prior studies on house-for-pension in the Taiwanese context primarily concentrated on institutional implementation analysis but limitedly explored the uncertainty risks banks face when implementing the house-for-pension scheme. First, a literature review on the risks associated with house-for-pension reverse mortgage financing and comprehensive interviews with banking industry professionals were conducted. Subsequently, in the Taiwanese banking sector, assessment criteria for important risk factors in house-for-pension reverse mortgage financing were devised. The decision-making trial and evaluation laboratory (DEMATEL) was utilised to assess the interdependence of the assessment criteria. Next, the DEMATEL-based analytic network process (ANP) or DANP were used to calculate the weights of evaluation criteria. By employing modified VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR), a gap analysis was undertaken on the assessment criteria and sub-criteria. The study's findings serve as a guideline for the Taiwanese banking industry in formulating, improving, or amending the risk exposure mitigation measures for reverse mortgage lending.     

Posterior analysis of mergers and acquisitions in the international financial market: A re-appraisal

Do mergers and acquisitions (M&A) improve the wealth status of investors, and if so, amidst persistence of volatility shocks? This paper tests these propositions by employing in the first step, a modified event study approach, and estimating a long-memory conditional volatility model, in the second step. The financial and policy implications of M&A are varied and contestable, yet, from an investor’s perspective, the long-term adjusted gain from M&A depends not only on the immediate growth of wealth, but also the fact that such a growth would accompany reduced rate of volatility persistence. Although in the beginning, a high persistence of volatility cannot be ruled out, its presence in the longer-run implies that the wealth gains from M&A are unstable, leading perhaps to a further collapse of both the merged/merger and acquired/acquiring firms. We estimate a long-memory Generalized Conditional Heteroscedasticity (GARCH) model with a Markovian transition for a number of international firms, specifically in Asia, to show in the first place, whether volatility shocks display differential memory in the pre- and post-M&A periods and whether the asymmetric high persistence is in the aftermath of M&A. Our results point at a significant ‘non-zero’ and positive gain for investors following M&A, but this is combined with greater volatility persistence.     

Using competing models to evaluate the role of environmental pressures in ecommerce adoption by small and medium sized travel agents in a developing country

This study investigates the factors that influence e-commerce adoption in SME travel agents in a developing country. The research is based upon a questionnaire survey of travel agents in Egypt and employs advanced statistical techniques to test a conceptual framework that extends the technology acceptance model. Using competing models the study examines the relationship between e-commerce adoption, perceived benefits, perceived barriers and environmental pressures. The results indicate that environmental pressures significantly affect the perceived benefits and barriers of e-commerce adoption, in addition to having an indirect effect on adoption behaviour. Insights are provided into the nature of relationships between the key factors that determine e-commerce adoption and the extent to which they can be used to develop effective strategies for SME travel agent re-intermediation in the global travel market. Implications are identified for practice and government policy in relation to the use of e-commerce in SME travel businesses in developing countries.     

Understanding Motivations and Acceptance of Location-Based Services

Location-based services (LBS) provide new opportunities for consumer convenience, just-in-time access to information, and services based upon the context of one’s location. Using a hotel/resort industry context, this study examines the impacts of LBS usage motivations on customers’ intentions and the moderating effects of age, gender, and experience on the relationships between motivations and intentions. Confirmatory factor analysis and structural equation modeling were used to analyze data collected from 398 hotel/resort customers owning smartphones. The results reveal the importance of utilitarian and social values in a customer’s adoption of LBS. This study provides practical significance to hospitality operators looking to deploy this type of technology to enhance the guest experience and revenue generating opportunities.     

ADF检验中滞后长度的选择——基于ARIMA（0，1，q）过程的模拟证据

在进行ADF检验时如何确定最优的滞后长度一直是研究者们关注的问题。最近的研究表明,不同的滞后长度选择方法对ADF检验的统计推断影响很大。本文在已有研究的基础上,模拟了更为一般的ARIMA(0,1,q)过程,分析了在不同的数据生成过程、检验式以及样本容量下,各种滞后长度选择方法对ADF检验功效和实际检验水平的影响,认为修正的信息准则通常具有较合理的实际检验水平,而从一般到特殊法具有更为稳健的ADF检验性质。     

Determinants of Online Shopping Influencing Thai Consumer’s Buying Choices

With the ease and availability of high-speed Internet service, online shopping is increasing rapidly. Consumers are moving to more intensive use of the Internet as the technology becomes more accessible, the availability of information increases, and the ability to interact through the Internet evolves. The success of online businesses relies heavily upon its ability to attract customers to complete purchase transactions on their websites. Even though the number of people who use the Internet every day and visit various shopping sites increases daily, it is interesting to note that quite a few of them still hesitate to purchase online. This study intends to examine what factors play a crucial role in encouraging or discouraging consumers in Thailand from shopping online. The findings from this study should help online businesses better understand the mindset of Thai consumers and find ways to improve websites in order to attract more customers.     

Consumer Adoption of Mobile Internet Services: An Exploratory Study

This study provides a framework that captures the antecedents of mobile internet adoption and the willingness to pay for such service. The theory of reasoned action and components of a theory of innovation adoption were integrated into a research model of consumer adoption of the mobile internet. The hypothesized model included service quality perceptions (fixed internet and mobile technology service), beliefs about mobile internet, and individual difference variables to explain intention to adopt mobile internet. An online questionnaire was used to gather data. The results showed that beliefs and quality perceptions play a significant role in influencing intentions to adopt mobile internet. In particular, beliefs about mobile internet are positively related to the adoption; quality perceptions of fixed internet are found significant to negatively influence adoption intentions, but positively relate to willingness to pay for using mobile internet. Mobile service usage, and peer influence are found non-significant to influence adoption intentions. Fixed internet usage was found negatively affect adoption intentions. Computer skills, knowledge of mobile internet and career mobility are all found positively related to the adoption. In addition, innovation driven consumers are more likely to adopt mobile internet, and intention to adopt plays an important role in shaping actual mobile internet use. Implications of results and directions for future research are examined.