Search results

This paper aims to present a holistic framework, termed ShaRInK (Sharer, Relations, Institution, Knowledge), that depicts key categories of influences that shape individual perceptions of knowledge sharing within an organisational setting.

An exploratory and qualitative case study strategy in which empirical data were gathered from 24 interviewees that were based in four different branches (i.e. China, The Netherlands, the UK and the USA) of a single information technology services organisation.

The findings led to a holistic framework that depicts four key categories of influences that shape knowledge sharing from an individual perspective: attitudes and characteristics of the sharers, relations between the sharers, institutions which act as a united entity on sharer perceptions and knowledge itself. Furthermore, the four key influences not only shape knowledge sharing independently but are intertwined and have a synergistic effect. The ShaRInK framework is formed by combining these.

The findings indicate that knowledge sharing from an individual-level perspective is a more complex phenomenon than currently portrayed in the literature. All four key influences, each being fundamentally different in nature, and their relationships should be taken into account. Equally, the ShaRInK framework can be applied by organisations when developing a knowledge-sharing strategy or auditing existing strategies.

The purpose of this paper is to show that research on policy diffusion mechanism of Government Procurement of Public Services (GPPS) is beneficial to improve the efficiency of policy formulation and implementation.

In view of the four dimensions which are internal demand, external pressure, policy innovation environment and service characteristic, a system of factors affecting policy diffusion is established. On this basis, a Multilayer Fuzzy Cognitive Map (MFCM) model for policy diffusion of GPPS is constructed. Nonlinear Hebbian Learning algorithm and genetic algorithm are applied to optimize the two components of the MFCM model, which are relationship between nodes at the same layer and influence weights between nodes at different layers, respectively. Taking Nanjing municipal government purchasing elderly-care services in China as the empirical object, simulation of policy diffusion based on the MFCM model is carried out, aiming to obtain the key factors influencing policy diffusion and the dynamic diffusion mechanism of GPPS policy.

Research results show that, compared with monolayer Fuzzy Cognitive Map, the MFCM model converges faster. In addition, simulation results of policy diffusion indicate that economic development level of jurisdiction, superior pressure, administrative level and operability of services are key influencing factors which are under four dimensions correspondingly. And the dynamic influencing mechanism of key factors has also been learned.

This paper constructs the MFCM model, which is a new approach based on several monolayer FCMs, to study the policy diffusion mechanism.

This study aims to answer the ‘what’ and ‘how’ questions about the key role players’ influence on the overall productivity outcomes in the lifecycle of residential buildings procured through the traditional route.

A mix of exploratory and descriptive research methods was used to obtain feedback from 179 role-players involved in various phases of the residential building lifecycle (RBLC) in New Zealand. Empirical data were analysed using content analysis, multi-attribute method and Friedman’s two-way analysis of variance.

Results showed that designers, building owners, main contractors and project managers were the greatest influencers of the productivity outcomes in the RBLC. The priority drivers of these key role-players’ influences on the RBLC productivity outcomes comprised poor brief interpretation, inclination to lowest tender, inadequate prior risk analysis and miscommunication of owner’s requirements and preferences to service providers, respectively. By taking proactive steps to redress their productivity inhibiting acts/omissions as identified in this study, the various role-players could contribute to significant improvement of productivity outcomes in the building lifecycle.

It was not possible to interview all participants that made up the representative random samples from each role-player group due largely to workload related excuses. As a result, the findings and the conclusions may not be generalised beyond the study scope. However, the study achieved its purpose, as the main intent was to provide hypothetical constructs that could guide further confirmatory/experimental studies for residential buildings as well as for other building types.

A succinct and easy-to-follow model was developed as implementation pathway for operationalising the key findings of the study in the industry. The model highlights the Owner-Architect-Contractor Influence Triangle (OACIT) as the 20 per cent of the solutions that could deliver 80 per cent of the productivity improvement in the RBLC.

This study re-examines productivity issues not only from a life-cycle perspective but also from the perspectives of the majority of the key role-players. In addition, the OACIT concept offers a novel productivity improvement tool; it stresses that productivity in the traditionally procured building lifecycle could be optimised if the architect could focus greater attention on brief articulation and the issuance and review of design and specification information. Also, the owner should adopt productivity-enhancing procurement and contract strategies and emphasise more on value-addition and less on lowest tender price.

In the tide of the sharing economy, food and beverage sharing services (FBSS) are gradually drawing public attention. Many comments about FBSS are posted and discussed online, and this information may suggest the key factors in the operation of FBSS. This study aims to identify the key success factors (KSFs) of FBSS from online communities and media, potential consumers, customers and experts.

This study utilizes Internet big data analytics (IBDA) to identify the key FBSS factors and then examines the KSFs of FBSS through conducting an analysis of the importance of key factors for potential consumers, confirmatory factor analysis of customer satisfaction of key factors, multiple regression analysis of customer satisfaction of key factors influencing the customers' intentions to continue participating in FBSS and a decision-making trial and evaluation laboratory of experts' opinions.

The results showed that the 15 key FBSS factors through IBDA were screened out. Among them, four KSFs that influence the operation of FBSS were identified. These four KSFs are discussed in detail in the text.

The findings of this study provide references for FBSS providers in the future to enhance customer value, service quality and business competitive advantages of FBSS.

The promotion of autonomous vehicles introduces privacy and security risks, underscoring the pressing need for responsible innovation implementation. To more effectively address the societal risks posed by autonomous vehicles, considering collaborative engagement of key stakeholders is essential. This study aims to provide insights into the governance of potential privacy and security issues in the innovation of autonomous driving technology by analyzing the micro-level decision-making processes of various stakeholders.

For this study, the authors use a nuanced approach, integrating key stakeholder theory, perceived value theory and prospect theory. The study constructs a model based on evolutionary game for the privacy and security governance mechanism of autonomous vehicles, involving enterprises, governments and consumers.

The governance of privacy and security in autonomous driving technology is influenced by key stakeholders’ decision-making behaviors and pivotal factors such as perceived value factors. The study finds that the governmental is influenced to a lesser extent by the decisions of other stakeholders, and factors such as risk preference coefficient, which contribute to perceived value, have a more significant influence than appearance factors like participation costs.

This study lacks an investigation into the risk sensitivity of various stakeholders in different scenarios.

The study delineates the roles and behaviors of key stakeholders and contributes valuable insights toward addressing pertinent risk concerns within the governance of autonomous vehicles. Through the study, the practical application of Responsible Innovation theory has been enriched, addressing the shortcomings in the analysis of micro-level processes within the framework of evolutionary game.

This paper aims to investigate business managers’ assessment of stakeholders’ influence on corporate social responsibility (CSR) initiatives. The key stakeholders included “employees” and “unions” as internal and “public”, the “media” and the “government” as external stakeholders. The purpose was to estimate the influence of stakeholders that managers perceive as important. Moreover, the study sought to identify association between the CSR construct and corporate reputation and in turn whether this influences business performance.

This study uses a mail survey with a random sampling of senior managers sourced from Dun & Bradstreet’s Australian business database, focusing on large organizations (i.e. minimum $10 million p.a. reported sales and minimum 100 employees) as the selection criteria. A conceptual model was developed and tested using structural equation modeling.

The results identified that “employees” and the “public” are perceived to be the influential stakeholder groups in CSR decision-making. There was evidence of a positive relationship between the CSR construct and reputation, which in turn influenced market share, but not profitability.

This study examined a cross-section of organizations using Dun & Bradstreet’s database of Australian businesses and may not fully represent the Australian business mix. The effective response rate of 7.2 per cent appears to be low, even though it is comparable with other research in the CSR area. There may have been some self-selection by the respondents, although there were no statistically significant differences identified in the corporate characteristics of those invited to participate and those responding with usable questionnaires.

Managers can adopt a stakeholder-influenced CSR strategy to generate strong corporate reputation to improve business performance. It is important to ensure that the interests of “employees” and “public” stakeholders are addressed within organizational strategy. Respondents were less concerned about government stakeholders and thus government involvement in organizational CSR may need to be revisited.

The major concern that emerges from these findings is the absence of the perceived importance of regulatory stakeholders on firms’ CSR activities. Regulatory controls of CSR messages could reduce or eliminate inaccurate and misleading information to the public.

The analysis explains the perceived relative influence of stakeholders on CSR decisions. It also provides an understanding of the link between organizational CSR reputation and organization’s performance.

The purpose of this paper is to explore the key factors influencing the service innovation of mobile social networks (MSNs), figure out the mechanism of all factors in different stages of service innovation and help mobile social application developers promote better service innovation.

From previous research, this paper adopted nine initial factors that influence the service innovation of MSNs, and divide the service innovation process into three stages (i.e. demand analysis, service design and innovation implementation). On that basis, the authors constructed a model, and then collected data from 184 managers from 20 leading MSN corporates in China through questionnaires to examine the model. Furthermore, factor analysis was used to extract key factors influencing the service innovation of MSNs, correlation analysis was employed to discuss the relationship among factors and regression analysis was applied to explore their specific roles in different stages in the service innovation process.

The empirical results show that the service innovation of MSNs is mainly influenced by five key factors: user, developer, market environment, social environment and technology. The authors found that different factors played remarkably different roles in the three stages. In specific, all factors but technology are important in the demand analysis stage; all factors but social environment are critical to service design; and all factors but user contribute to the implementation of service innovation.

The results of this study can help mobile social application developers and mobile social service providers in China to better understand the driving force of service innovation and what should be emphasized in different stages, and then find the optimal path to implement service innovation, improve their service quality and user experience and facilitate the development of Chinese MSNs.

This is the first research that comprehensively explores factors influencing the service innovation of Chinese MSNs from multi-dimensional perspectives, which provides profound theoretical guidance to the practice of service innovation in China. Also, it contributes to the development of innovation theory of traditional web services.

The use of computer-assisted audit techniques and tools (CAATTs) is a part of many professionally recommended audit procedures. This paper aims to argue that obtaining a better understanding of the factors underlying successful CAATTs adoptions would be helpful to aid wider development of these technologies in internal audit functions.

To help develop the understanding of the factors that lead to successful adoption of GAS, this paper uses current theories that are seeking to better explain the various elements that constitute IT adoption processes. In particular, it makes use the “Unified Theory of Acceptance and Use of Technology” (UTAUT). UTAUT is used to structure the analysis of ten semi-structured, qualitative, interviews of key decision-makers in adoptions of CAATTS in internal audit functions in exploring the key factors that drove the successful adoption of these IT technologies. The most widely used CAATTs tools available to internal auditors is currently GAS. This study specifically focuses on GAS tools.

This paper explores the successful adoption of GAS in ten cases to draw out the general factors that appear to be essential elements that lead to successful adoptions. From this basis, the paper proposes an initial model, built on existing theories of IT adoption more generally, as a theoretical basis for GAS adoption by decision-makers in an internal audit setting to better understand what may be essential factors to their adoption decisions to be likewise successful. Results suggest that two constructs from UTAUT (performance expectancy and facilitating conditions) appear to be particularly important factors influencing successful adoptions of GAS in this domain. However, the UTAUT constructs of social influence and effort expectancy are not found by this study to be as important in this specific IT adoption domain. UTAUT also proposes four moderating factors that influence the constructs. This paper explores two of these moderators – experience and voluntariness – and shows that both are keys to the constructs application to this domain.

The paper examines the motivation for CAATTs adoption by internal auditors using the UTAUT framework commonly used in information system research but not so to date in this domain where there is professional guidance suggesting wider use of technology should be made compared to actual usage.

The purpose of this study is to develop and validate empirically a research model that depicts the relationships between the identified key value proposition attributes of mobile value‐added services and the core factors of brand equity.

Survey data collected from 497 mobile value‐added service consumers were examined using structural equation modeling to validate the research model.

The results indicate that the mobile service attributes of personalization, identifiability, and perceived enjoyment have significant positive influences on the key brand equity factors, including brand loyalty, perceived quality, brand awareness, and brand associations. Additionally, the results confirm the significance of all four of the brand equity factors in interpreting consumer purchase intention in the context of mobile value‐added service consumption.

The research results provide insights into how mobile value‐added services may be better designed and delivered to enhance brand equity and, in turn, profits.

While the market potential of mobile value‐added services and the importance of brand equity have both been widely recognized, the development and empirical validation of a model that specifically depicts the determinants of mobile value‐added service consumption from a brand‐equity perspective has not yet been undertaken. Consequently, this study investigates the relationships among key m‐commerce attributes, core brand‐equity components, and consumer behaviors. The research results have extended the application and advanced the understanding of previous mobile‐commerce and brand‐equity theories in the context of mobile value‐added service consumption.

Seeks to better understand whether a retailer's trust in a manufacturer is a key concept in their motivation to allocate resources to those manufacturers with whom they have a long‐term relationship compared with economical motivations.

A survey research method is used to study all customers from three large manufacturers in The Netherlands. These retailers had to answer questions about their trust in a manufacturer, the manufacturer's investments in the relationship, and their marketing efforts. Questions were also asked about the allocation of their own scarce resources for the manufacturer, specifically their adoption of in‐store marketing campaigns initiated by the manufacturer. Structural equation models and regression analyses were employed.

Trust is not that important, but the manufacturer's investments in the brand are the most important predictors. However, interaction effects were also found: trust interacts with investments in the brand to influence resource allocations. It was also found that personal contact of salespeople of the manufacturer with managers at store as well as their contact with headquarters had an effect on resource allocation. This is conceived to be an indication that people at headquarters take into consideration how people at the floor level evaluate the brands and their effects on customers when making resource allocation decisions. In other words, retailer chains have complex buying centers.

A large set of customers was analyzed from three different manufacturers, but customers could have been investigated from many manufacturers.

Retailers respond to manufacturers mainly with economic motivations (e.g. what is the value of this brand for my own firm?). However, trust at times interacts with these economic motivations. This means that manufacturers should invest both in the relationship with the retailer and in their brands, if they want to motivate the retailer to allocate scarce resources (e.g. time).

This paper identifies important factors that influence retailer behavior that have not been studied within a fast‐moving retail context.