Search results

The purpose of this study was to investigate the impact of several hotel promotional factors and consumers’ behavioral and demographic characteristics on their actual use of specific interactive information systems in hotels. The specific systems examined in this study were a hotel’s website, mobile app, push notification system, kiosk, smart TV in room, and tablet at front desk or in room.

A survey was conducted with a sample of 841 respondents who had stayed in a hotel that had interactive information systems. Logistic regression models were designed with the promotional factors (e.g. hotel staff encouraging purchasing products, push notifications or information presented on mobile devices or kiosks, seeing or hearing about other consumers using systems, advertising and press releases), behavioral variables (e.g. frequency and duration of stay) and demographic variables (e.g. gender and age) as independent variables. The independent variables were the individual systems used by guests.

The various promotional factors had a differential effect on consumers’ use of various interactive information systems. Information provided on mobile devices, staff encouraging purchasing and press releases and blogs, along with age and duration of stay, was found to have the highest impact on system usage.

This study examines for the first time, as per the authors’ knowledge, the actual use behavior of several hotel interactive systems, thus advancing the technology adoption literature. This study also utilizes a comprehensive list of hotel promotional factors that are able provide theoretical and empirical insight into the use of interactive systems, which was explained predominantly based on system perceptions and consumers’ characteristics.

本论文旨在研究若干酒店营销因素和消费者行为特征和统计人口特征对真正使用互动性系统的影响。本论文主要研究的主体包括, 酒店网站、移动APP、推送信息系统、自助服务机器、房间智能TV、以及前台或房间的平板电脑。

取样方式为问卷调查, 其样本数量是841位曾在酒店使用过互动系统的顾客。逻辑回归模型结合营销因因子（如酒店人员销售产品、推送信息、或者移动设备或者自助机上显示的营销信息、经由其他消费者介绍、广告、新闻稿等）, 行为特征变量（如酒店居住频率和长短）, 以及统计人口变量（如性别和年龄）作为因变量。因变量包括顾客使用的 独立系统。

多个营销因子对消费者使用多个互动性信息系统有着不同的影响。其中, 移动设备上的营销信息、人员销售、新闻稿和博客、以及消费者年龄和酒店居住长短对系统使用有最显著的影响。

本论文首次检验酒店互动性系统的真实使用情况, 因此对科技使用文献有显著价值。本论文还全面检验了一系列酒店营销因子, 从理论和实践角度来检验互动系统使用情况, 延展了之前对系统感知和消费者特性的理解。

关键词：互动科技、实际科技使用、酒店、逻辑回归

研究论文

The study aims to identify the affecting factors and their impact rates on the commercial housing prices. The study also aims to suggest implications related to commercial housing prices to develop the commercial housing market.

The study investigates housing investors, real estate agents and buyers to identify factors that might affect commercial housing prices. The proposed research model has 7 latent factors and is tested by Cronbach' alpha and exploratory factor analysis by SPSS20.0 software.

There are 7 groups with 24 factors affecting commercial housing prices. The neighboring factor group has the greatest impact rate (18.54%); the housing service group has the lowest impact rate (11.48%).

The study has only determined the affecting factors and their impact rates on commercial housing prices in Bac Ninh city. Therefore, it is necessary to conduct research on factors affecting commercial housing prices in other provinces and cities of Vietnam in the coming time. In addition, the proposed research method can also be consulted when it is necessary to determine the factors affecting commercial housing prices in other countries around the world.

The study proposes some implications related to commercial housing prices such as commercial housing valuation; housing selection with suitable prices for people intending to buy houses; state support policies for commercial housing investors to develop commercial housing with reasonable prices.

The implementing the implications proposed in the study will facilitate people's easier access to commercial housing; real estate investors do business more efficiently.

To the best of the authors’ knowledge, this paper presents for the first time a method to determine the affecting factors and their impact rates on commercial housing prices in Vietnam. The paper also points out a number of specific factors affecting commercial housing prices that are different from those shown in previous studies.

There is a limited number of research work on critical success factors (CSFs) in public construction projects in Saudi Arabia. In response to this knowledge gap, the objective of this paper is to assess the impact of CSFs on the government construction projects in Saudi Arabia. The success factors are investigated from a broader consideration of failure criteria, from consideration of most effectiveness in successful project completion and also from consideration of the impact of implementing control processes for successful project completion.

This study has analysed the impact of success factors on construction projects in Saudi Arabia using a descriptive methodology. An exhaustive literature survey is undertaken to identify the success and failure factors related to government construction projects in Saudi Arabia. The survey data are sorted out and analysed by cost, schedule, technical, context and finance dimensions of the projects based on project types, engineering complexity, size, modality, jurisdictional control and funding approach. To evaluate the influence of success factors implementation, qualitative data were collected in a survey via a web-based questionnaire that was sent to officials working and occupying a responsible position in national project guidelines organizations and in government construction organizations in Saudi Arabia. In all, 28 CSFs were identified, ranked and evaluated for their impact on project success. The four identified factors belong to process categories of construction projects, nine factors belong to management of construction projects and 15 success factors are identified for impact assessment of implementation in construction projects.

The study's findings have identified and ranked the top five CSFs that significantly influence project outcomes, including meeting time targets, adhering to financial budgets, delivering desired outcomes for all stakeholders, effectively managing risks and assembling the appropriate team while optimizing resource allocation. Additionally, the research indicates that hindrances to projects primarily stem from execution, economic, human and political factors. The study advocates for strict controls over incomplete engineering designs and advises against contractors independently handling design work to ensure project success. Additionally, addressing contractors' qualifications and financial matters is crucial for project success. By highlighting these CSFs and challenges, the research provides actionable insights to enhance project management practices in the construction industry.

This study is limited to the infrastructure projects constructed by governmental bodies with the participation of officials from government organizations. Further study, including private projects and officials working on private projects, may be needed to generalized the research outcome.

Numerous studies have investigated CSFs in construction projects, but few have examined their relevance to Saudi Arabian government projects. This study aims to fill this gap by identifying key CSFs specific to Saudi Arabian public sector construction projects and assessing their impact on project success. It advocates for stringent controls in the Saudi Arabian construction sector, emphasizing the importance of preventing incomplete or altered engineering designs by contractors to increase the success rate of public sector projects. This research offers practical insights to stakeholders, advancing project management practices in Saudi Arabia's construction sector for improved outcomes and resource utilization.

Timber export is an important economic development pillar in Ghana, which has a direct effect on Ghana’s domestic forestry industry development, local communities’ income and sustainable forest management and deforestation. China, as the Ghana’s largest timber export destination, brought significant impacts on Ghana’s timber export. However, there is a lack of quantitative analyses on impact factors of timber trade between the two countries in the past, which this paper sought to do.

The authors first collected Ghana’s timber exports to China from 1997 to 2017, and then based on the literature review and trade theories, the authors set up a least squares estimate (LSE)-based multiple linear regression (MLR) model to analyse the specific impact factors. In addition, multi-collinearity, autocorrelation and heteroscedasticity issues of the impact factors were checked to guarantee the accuracy of the results.

The results showed China timber import volume, Ghana cedi (GHC)/US$ exchange rate, Ghana’s gross domestic product (GDP) and China timber consumption volume in construction sector had positive impacts; Ghana timber production volume and Ghana average timber export price had negative impacts. The results confirmed that China’s timber consumption had a positive linkage with Ghana’s timber export. The article also reviewed possible impacts caused by change in timber trade policies, which proved important but was hardly directly quantified. The authors pointed out the importance of optimizing these impact factors to make sure Ghana’s timber export to China went on the sustainable track.

There is no literature about timber trade and its impact factors between Ghana and China, which used econometric models. This paper provided new perspectives on the impact factors in timber trade between the two countries.

This paper aims to explore the effect of government support (short work allowances – SWA) on SME employees' job performance and employee motivation perceptions, during the COVID-19 pandemic in Turkey.

Survey data were collected from 2,781 employees working in SMEs registered to Small and Medium Enterprises Development Organization (SMEDO) in Turkey. The relationships were assessed through structural equation modeling with bootstrap estimation.

The results support the proposed framework illustrating the positive effect of government support on employees' perceived motivation and job performance. Findings indicate that employee motivation has exhibited a mediating effect between government support and job performance. Another important finding is that, contrary to the classical understanding of Herzberg's two-factor theory, SWA system was able to perform as a motivating factor during the pandemic by meeting the hygiene needs.

Since this is a cross-sectional research study, causal inferences cannot be derived from the research results.

There is a lack of empirical study on SME employees' perceptions on the government support during the pandemic, especially on the perspectives of emerging economies are infrequent. Turkey's case is unique in terms of providing insights on how perceived employee motivation is increased by the government supports (SWA) in Turkey, and how this motivation mediates the job performance perceptions. Besides, the impacts of government support are mostly studied at the firm or macro-levels, this study's unit of analysis is at individual level. Regarding the criticism from the motivation perspective of two-factor theory, COVID-19 context and its impact on the motivation needs have not been elaborated before. This article starts new discussions on how crisis contexts influence individual motivator factors.

Manufacturing companies struggle to manage production disturbances. One step of such management deals with prioritising those disturbances which should undergo root cause analysis. The focus of this work is on two areas. First, investigating current challenges faced by manufacturing companies when prioritising root cause analysis of production disturbances. Second, identifying the stakeholders and factors impacted by production disturbances. Understanding the current challenges and identifying impacted stakeholders and factors allows the development of more efficient prioritisation strategies and, thus, contributes to the reduction of frequency and impact of disturbances.

To achieve the intended purpose of this research, a qualitative approach was chosen. A series of interviews was conducted with practitioners, to identify current challenges. A series of focus groups was also held, to identify the impacted stakeholders and factors by disturbances.

Various challenges were identified. These are faced by manufacturing companies in their prioritisation of production disturbances and relate to the time needed, criteria used, centralisation of the process, perspective considered and data support. It was also found that a wide range of stakeholders is impacted by production disturbances, surpassing the limits of production and maintenance departments. Furthermore, the most critical factors impacted are quality, work environment, safety, time, company results, customer satisfaction, productivity, deliverability, resource utilisation, profit, process flow, plannability, machine health and reputation.

The current situation regarding root cause analysis prioritisation has not been identified in previous works. Moreover, there has been no prior systematic identification of the various stakeholders and factors impacted by production disturbances.

The purpose of this paper is to qualitatively validate the constructs of a theoretically derived research model while gaining insights to steer the direction of a greater study on methodologies, their elements, and their impact on project success. In doing so, to investigate whether different project environments, notably project governance, impacts the relationship between methodologies and project success.

A deductive approach was applied to validate a theoretically derived research model. In total, 19 interviews across 11 industrial sectors and four countries were used to collect data. Pattern-matching techniques were utilized in the analysis to deductively validate the research model.

There is a positive relationship between project methodology elements and the characteristics of project success; however, environmental factors, notably project governance, influence the use and effectiveness of a project methodology and its elements with a resulting impact on the characteristics of project success.

Project governance plays a major role in the moderating effect of a project methodology’s effectiveness. Contingency theory is applicable to a project’s methodology’s selection and its customization according to the project environment.

Understand the impact of project methodologies and their elements on the characteristics of project success while being moderated by the project environment, for example, the risk of suboptimal project performance due to the effectiveness of methodology elements being negatively impacted by the project environment.

The impact of a project methodology (collection of heterogeneous-related elements) on the characteristics of project success is identified while being moderated by the project environment, notably project governance.

This study aims to identify and assess the significant risks in Yemen oil and gas construction projects based on their risk rating (impact and probability) by using probability–impact matrix (PIM).

In total, 51 risk factors that might affect construction projects in the oil and gas sector are defined through a detailed literature review and expert judgment. The risk factors were tabulated in a questionnaire form, which was sent to a total of 400 participants asking their contribution in identifying the risk matrix for the risk factors in terms of impact and probability of occurrence during the project life cycle. Five zones were used in the matrix according to the degree of risk factor’s severity on the success of the project. These zones are light green, dark green, yellow, light red and dark red.

The PIM analysis for risk factors found that five factors are located in the dark red zone, as top risks factors have a very high impact and very high probability of occurring; 40 factors are located in the light red zone; six factors are located in the yellow zone; and no factors are located in the green zone (light and dark), which is considered an indication of the importance of risk factors under study and their impact on the success of construction projects in the oil and gas sector. Moreover, the factors under feasibility study and design and resources and material; are the most categories effect on project success.

The research was limited to the oil and gas construction projects in Yemen.

Practically, this study highlights the top risk factors in oil and gas construction projects, which might cause an adverse effect on project success in Yemen. Classification and ranking of these factors by using the risk matrix provide the basis for risk response planning to enhance the chances of project success.

This paper identifies the matrix for risk factors affecting the success of construction projects in the oil and gas industry in Yemen. There is a significant contribution expected from this research, especially for companies operating in the oil and gas sector and other organizations that plan to invest in this field, in addition to expected benefits for the Yemeni Government and researchers because of lack of research in this area.

Pay, tenure and promotion decisions are frequently based upon inferences regarding the value of faculty research. Meanwhile, departmental, college and university reputations are frequently based on perceptions regarding the quality of research being produced by its faculty. Making correct inferences requires accurate measurement of research quality, which is often based upon the journal through which results are shared. This research expands upon the research found elsewhere through its detailed investigation of leading journals in two business disciplines, including examination of four different citation-based measures and four journal characteristics which are exogenous to the quality of any individual piece of research. The paper aims to discuss this issue.

This study assists in the development of an accurate perspective regarding research quality, by studying the popular Journal Citation Reports (JCR) impact factor. A further expansion on the past literature is consideration of three newer journal quality metrics: SCImago Journal Rank (SJR), Source Normalized Impact per Paper (SNIP) and percentage of articles cited. Top-tier journals in finance and information systems are compared to evaluate the consistency of these measures across disciplines. Differences in journal characteristics and their impact on citation-rate based measures of quality are also examined. The potential impact of discipline-based variation in acceptance rate, issue frequency, the time since journal inception and total reviewers are put forth as additional potential exogenous factors that may impact the perception of journal quality. t-Tests are employed for discipline comparisons, while correlation and multiple regression are used for journal characteristic analysis.

There is a significant difference in the JCR impact measures of high-quality finance journals vs high-quality information systems journals, which are correlated with a variety of journal-specific factors including the journal’s acceptance rate and frequency of issue. Information systems journals domination of finance journals persists whether one considers mean, median, minimum or maximum impact factors. SJR measures for finance journals are consistently higher than information systems journals, though the SJR value of any individual journal can be quite volatile. By comparison, the SNIP metric rates premier information systems journals higher. Over 12 percent more of the articles in leading information systems journals are cited during the initial three years.

Logical extensions of this research include examining journals in other business disciplines. One could also evaluate quality measures reaction to variation in journal characteristics (i.e. changes in acceptance rates). Furthermore, one could include other measures of journal quality, including the recently released CiteScore metric. Such research will build on the present research and improve the accuracy of research quality assessment.

To the extent that citation-based research measures and journal-specific factors vary across disciplines as demonstrated by our investigation, discipline-specific traits should be considered adjusted for, when making inferences about the long-term value of recently published research. For instance, finance faculty publishing in journals with JCR readings of 2.0 are in journals that are 53 percent above the discipline’s average, while information systems faculty publishing in journals with JCR readings of 2.0 are in journals that are 18 percent below the discipline’s average. Furthermore, discipline-specific differences in journal characteristics, leading to differences in citation-based quality measures, should be considered when making inferences about the long-term value of recently published research in the process of making recommendations regarding salary adjustments, retention and promotion.

Quantity and quality of research are two hallmarks of leading research institutions. Assessing research quality is very problematic because its definition has changed from being based on review process (i.e. blind refereed), to acceptance rates, to impact factors. Furthermore, the impact factor construct has been a lightning rod of controversy as researchers, administrators and journals themselves argue over which metric to employ. This research is attempting to assess how impact factors and journal characteristics may influence the impact factors, and how these interactions vary business discipline. The research is especially important and relevant to the authors which separately chair departments including finance and information systems faculty, and therefore are in roles requiring assessment of faculty research productivity including quality.

This study is a detailed analysis of bibliographic aspects of the top-tier journals in two quantitative business areas. In addition to the popular JCR, SJR and SNIP measures of performance, the analysis studies the seldom-examined percentage of the article cited metric. A deeper understanding of citation-based measures is obtained though the evaluation of changes in how journals have been rated on these metrics over time. The research shows that there are discipline-related systematic differences in both citation-based research measures and journal-specific factors and that these discipline-specific traits should be considered when making inferences about the long-term value of recently published research. Furthermore, discipline-specific difference in journal characteristics, leading to differences in citation-based quality measures, should be considered when making personnel and remuneration decisions.

This study aims to investigate the impact of the macroeconomic environment on South African industrial sector returns.

Using standardized coefficients derived from time-series factor models, the authors quantify the impact of macroeconomic influences on industrial sector returns. The authors analyze the structure of the resultant residual correlation matrices to establish the level of factor omission and apply a factor analytic augmentation to arrive at a specification that is free of omitted common factors.

The authors find that global influences are the most important drivers of returns and that industrial sectors are highly integrated with the global economy. The authors show that specifications that comprise only macroeconomic factors and proxies for omitted factors in the form of residual market factors are likely to be underspecified. This study demonstrates that a factor analytic augmentation is an effective approach to ensuring an adequately specified model.

The findings have a number of implications that are of interest to investors, econometricians and researchers. While the study focusses on a single market, the South African stock market, as represented by the Johannesburg Stock Exchange (JSE), it is a highly developed and globally integrated market. In terms of market capitalization, it exceeds the Madrid Stock Exchange, the Taiwan Stock Exchange and the BM&F Bovespa. Yet, a limited number of studies investigate the macroeconomic drivers of the South African stock market.

Investors should be aware that while the South African domestic environment, especially political risk, has an impact on returns, global influences are the greatest determinants of returns. No industrial sectors are insulated from global influences and this limits the potential for diversification. This study suggests an alternative set of macroeconomic factors that may be used in further analysis and asset pricing studies. From an econometric perspective, this study demonstrates the usefulness of a factor analytic augmentation as a solution to factor omission in models that use macroeconomic factors to proxy for systematic influences that describe asset prices.

The contribution lies in providing insight into a large and well-developed yet understudied financial market, the South African stock market. This study considers a much broader set of macroeconomic factors than prior studies. A methodological contribution is made by estimating and interpreting standardized coefficients to discriminate between the impact of domestically and internationally driven factors. This study shows that should coefficients not be standardized, inferences relating to the relative importance of factors will differ. Finally, the authors unify an approach of using pre-specified factors with a factor analytic approach to address factor omission and to ensure a valid and readily interpretable specification.