bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessing the organizational impact of patient involvement: a first STEPP
Authors: Kreindler Sara A. , Struthers Ashley 
Published: May 2016

Purpose
– Patient involvement in the design and improvement of health services is increasingly recognized as an essential part of patient-centred care. Yet little research, and no measurement tool, has addressed the organizational impacts of such involvement. The paper aims to discuss these issues.

Design/methodology/approach
– The authors developed and piloted the scoresheet for tangible effects of patient participation (STEPP) to measure the instrumental use of patient input. Its items assess the magnitude of each recommendation or issue brought forward by patients, the extent of the organization’s response, and the apparent degree of patient influence on this response. In collaboration with teams (staff) from five involvement initiatives, the authors collected interview and documentary data and scored the STEPP, first independently then jointly. Feedback meetings and a “challenges log” supported ongoing improvement.

Findings
– Although researchers’ and teams’ initial scores often diverged, the authors quickly reached consensus as new information was shared. Composite scores appeared to credibly reflect the degree of organizational impact, and were associated with salient features of the involvement initiatives. Teams described the STEPP as easy to use and useful for monitoring and accountability purposes. The tool seemed most suitable for initiatives in which patients generated novel, concrete recommendations; less so for broad public consultations of which instrumental use was not a primary goal.

Originality/value
– The STEPP is a promising, first-in-class tool with potential usefulness to both researchers and practitioners. With further research to better establish its reliability and validity, it could make a valuable contribution to full mixed-methods evaluation of patient involvement.
Application of Bow-tie methodology to improve patient safety
Authors: Abdi Zhaleh , Ravaghi Hamid , Abbasi Mohsen , Delgoshaei Bahram , Esfandiari Somayeh 
Published: May 2016

Purpose
– The purpose of this paper is to apply Bow-tie methodology, a proactive risk assessment technique based on systemic approach, for prospective analysis of the risks threatening patient safety in intensive care unit (ICU).

Design/methodology/approach
– Bow-tie methodology was used to manage clinical risks threatening patient safety by a multidisciplinary team in the ICU. The Bow-tie analysis was conducted on incidents related to high-alert medications, ventilator associated pneumonia, catheter-related blood stream infection, urinary tract infection, and unwanted extubation.

Findings
– In total, 48 potential adverse events were analysed. The causal factors were identified and classified into relevant categories. The number and effectiveness of existing preventive and protective barriers were examined for each potential adverse event. The adverse events were evaluated according to the risk criteria and a set of interventions were proposed with the aim of improving the existing barriers or implementing new barriers. A number of recommendations were implemented in the ICU, while considering their feasibility.

Originality/value
– The application of Bow-tie methodology led to practical recommendations to eliminate or control the hazards identified. It also contributed to better understanding of hazard prevention and protection required for safe operations in clinical settings.
Predictive technology and natural hazards: risk for Australian planning authorities?
Authors: Stickley Amanda , Christensen Sharon , Duncan W.D. , Buchbach Jacinta 
Published: May 2016

Purpose
The purpose of this paper is to examine whether the improvements in technology that enhance community understanding of the frequency and severity of natural hazards also increased the risk of potential liability of planning authorities in negligence. In Australia, the National Strategy imposes a resilience-based approach to disaster management and stresses that responsible land-use planning can reduce or prevent the impact of natural hazards upon communities.

Design/methodology/approach
This paper analyses how the principles of negligence allocate responsibility for loss suffered by a landowner in a hazard-prone area between the landowner and local government.

Findings
The analysis in this paper concludes that despite being able to establish a causal link between the loss suffered by a landowner and the approval of a local authority to build in a hazard-prone area, it would be in the rarest of circumstances that a negligence action may be proven.

Research limitations/implications
The focus of this paper is on planning policies and land development, not on the negligent provision of advice or information by the local authority.

Practical implications
This paper identifies the issues a landowner may face when seeking compensation from a local authority for loss suffered because of the occurrence of a natural hazard known or predicted to be possible in the area.

Originality/value
The paper establishes that as risk managers, local authorities must place reliance upon scientific modelling and predictive technology when determining planning processes to fulfil their responsibilities under the National Strategy and to limit any possible liability in negligence.
Modeling consumer switching behavior in social network games by exploring consumer cognitive dissonance and change experience
Authors: Liu Yong , Li Hongxiu , Xu Xiaoyu , Kostakos Vassilis , Heikkilä Jukka 
Published: May 2016

Purpose– The purpose of this paper is to model the effect of alternative products in motivating consumers’ e-service switching behavior in the context of the social network game (SNG) industry. In particular, the effects of both alternative attractiveness and change experience on switching behavior are quantified.Design/methodology/approach– With the aid of a leading e-service provider in China, 220,000 questionnaires were distributed to the players of a SNG. Valid responses from potential switching users are included in the data analysis. Structural equation modeling technique is utilized to test the research framework.Findings– The study found that alternative attractiveness negatively affects both the perceived service quality and individual users’ satisfaction with their current SNG. Additionally, alternative attractiveness has a strong and positive impact on both switching intention and behavior. The results show that users’ satisfaction and perceptions on service quality deteriorate significantly when faced with the presence of attractive SNG alternatives. The effect is stronger for the customers used to switching.Originality/value– The study is among the first to introduce cognitive dissonance theory to explain e-service switching behavior. A number of new hypotheses are proposed, tested and supported. The results of the study illustrate the use of cognitive dissonance as an alternative perspective of understanding users’ switching behavior in a real-world free-choice situation.
Big data analytics with swarm intelligence
Authors: Cheng Shi , Zhang Qingyu , Qin Quande 
Published: May 2016

Purpose
– The quality and quantity of data are vital for the effectiveness of problem solving. Nowadays, big data analytics, which require managing an immense amount of data rapidly, has attracted more and more attention. It is a new research area in the field of information processing techniques. It faces the big challenges and difficulties of a large amount of data, high dimensionality, and dynamical change of data. However, such issues might be addressed with the help from other research fields, e.g., swarm intelligence (SI), which is a collection of nature-inspired searching techniques. The paper aims to discuss these issues.

Design/methodology/approach
– In this paper, the potential application of SI in big data analytics is analyzed. The correspondence and association between big data analytics and SI techniques are discussed. As an example of the application of the SI algorithms in the big data processing, a commodity routing system in a port in China is introduced. Another example is the economic load dispatch problem in the planning of a modern power system.

Findings
– The characteristics of big data include volume, variety, velocity, veracity, and value. In the SI algorithms, these features can be, respectively, represented as large scale, high dimensions, dynamical, noise/surrogates, and fitness/objective problems, which have been effectively solved.

Research limitations/implications
– In current research, the example problem of the port is formulated but not solved yet given the ongoing nature of the project. The example could be understood as advanced IT or data processing technology, however, its underlying mechanism could be the SI algorithms. This paper is the first step in the research to utilize the SI algorithm to a big data analytics problem. The future research will compare the performance of the method and fit it in a dynamic real system.

Originality/value
– Based on the combination of SI and data mining techniques, the authors can have a better understanding of the big data analytics problems, and design more effective algorithms to solve real-world big data analytical problems.
Multi-attribute approach to sustainable supply chain management under uncertainty
Authors: Wu Kuo-Jui , Liao Ching-Jong , Tseng MingLang , Chiu Kevin Kuan-Shun 
Published: May 2016

Purpose
– The purpose of this paper is to enhance the understanding of sustainable supply chain management (SSCM) and provide a comprehensive and quantitative method to assess performance.

Design/methodology/approach
– The study applied interval-valued triangular fuzzy numbers associated with grey relational analysis to improve the insufficient information and overcome the incomplete system under uncertainty.

Findings
– The findings support the argument that the triple bottom line is insufficient to cover the entire concept of SSCM; in particular, the aspects of operations, stakeholders and resilience have not been addressed in previous studies.

Research limitations/implications
– The results reveal that the triple bottom line concept is insufficient to illustrate the principles of SSCM and to provide an extensive basis for theory development. The aspects and criteria considered in the study only relate to the studied company and may need to be reviewed when applied to other industries.

Practical implications
– The methodology and findings of the study demonstrate the core applications of criteria ranking and identify priority areas that utilize less investment but that may maintain the studied company’s current performance. Suggestions for the prioritization of criteria to enhance SSCM performance are provided.

Originality/value
– The present study provides three valuable contributions. First, it adopts collaboration theory to furnish a theoretical foundation for SSCM. Second, the proposed hybrid method is able to overcome uncertainty and subsequently evaluate SSCM while utilizing incomplete and imprecise information. Third, the evaluation provides significant results for consideration in decision making by the studied company.
Supply chain network, information sharing and SME credit quality
Authors: Song Hua , Yu Kangkang , Ganguly Anirban , Turson Rabia 
Published: May 2016

Purpose– The purpose of this paper is to examine the effect of small and medium enterprises (SMEs)’ supply chain network on influencing credit quality, or more specifically, whether bridging tie (structural network) or strong tie (relational network) of SMEs in the supply chain can improve the availability of equity and debt capital through information sharing.Design/methodology/approach– A survey was conducted in manufacturing industry in China and 208 valid questionnaires were used to test all the hypotheses. The data were then analyzed by employing partial least squares path modeling.Findings– The results suggest that both strong tie and bridging tie of SMEs can lead to a positive effect on information sharing in supply chain, which can further enhance the credit quality for SMEs. However, without information sharing, the strong tie has not significant influence on SMEs’ credit quality, while bridging tie can directly impact on credit quality.Originality/value– Despite their crucial role in sustaining national economies, SMEs are beset by the critical constraint of risk-free financing. Based on a survey, this research finds that the credit quality of SMEs is affected by two important factors: one concerns information sharing in supply chain and the other relates to the attributes of SMEs’ supply chain network. This study implies that a SME may have a financing advantage for better embedding in the supply chain network, but different effects will be experienced according to constraints associated with information asymmetry in the supply chain.
Caught in the middle: franchise businesses and the social media wave
Authors: King Brian L. 
Published: May 2016

Purpose
The purpose of this paper is to explore the impact of the Internet, and more specifically social media, on franchise business models.

Design/methodology/approach
A review of both franchising and Internet literatures enables the creation of a simple model that distinguishes between surface waves, highly visible innovations that influence a restricted set of franchise business models, and deep waves that have a broader and more long-lasting influence on all franchises.

Findings
The first Internet era had a surface wave, online selling, that impacted relatively few franchises, but the deep wave of the wide availability of information and training materials has had a broader and more sustained impact on franchise systems. Similarly, Web 2.0’s social element has created a surface wave, the shared economy for hotels and cars, that affects relatively few franchises, but the deep wave of user-rating Web sites and Apps promises to have a broader and more long-lasting influence.

Research limitations/implications
This paper enables researchers identify potential research topics, highlighting the need to determine the impact of social media on how consumers perceive quality and the influence this has on their ongoing behavior.

Practical implications
This paper helps practitioners understand how the Internet influences the competitive balance between franchised and non-franchised businesses. Hence, it will be of interest to any large organization that offers high quality decentralized products or services, as they typically either franchise or compete with franchised businesses. As well, for entrepreneurs considering investing in a franchise, this paper will help identify which business models are more sustainable in the face of Internet innovation.

Originality/value
The surface wave/deep wave model is a new approach to analyzing the long-term impact of the Internet on all decentralized businesses.
Floundering in a deregulated market: an energy company seeks new strategies
Authors: Gill Avninder 
Published: May 2016

Purpose
The purpose of this paper is to analyze the business strategy of an energy company, identify the shortcomings in its existing strategy and provide recommendations to streamline a strategic direction.

Design/methodology/approach
The paper applies strengths, weaknesses, opportunities and threats analysis, five forces model and competitive positioning analysis.

Findings
The company needs to evolve its management strategy from an engineering focus to a customer and competitive focus.

Practical implications
The paper demonstrates that a real firm can apply traditional conceptual business models and successfully modify its business strategy to obtain a sustainable competitive advantage, better front-line customer service and newer product development initiatives.

Social implications
The main customers for this company being the residential consumers, the focus on the front-line customer service will benefit the customers and the community in general.

Originality/value
The paper applies existing methodologies for strategy analysis to the business challenges faced by an energy company. The method can be used to find shortcomings in a current strategy, to identify the right fit between competitive strategy and operational competency and to provide a clear direction for the company.
Co-creating value with consumers through social media
Authors: Kao Tzu-Yi , Yang Ming-Hsien , Wu Ji-Tsung Ben , Cheng Ya-Yun 
Published: May 2016

PurposeThis study aims to develop a process model to facilitate enterprises’ co-creating value with consumers through social media.Design/methodology/approachDrawing on the concepts of internet-based co-creation and collective action theory, this study outlines a five-stage model (Interact-Engage-Propose-Act-Realize, IEPAR) of utilizing social media to co-create with consumers, enriches the model through in-depth interviews with industry experts and briefly illustrates how it can be applied in practice using a service firm case.FindingsThis study clarifies the co-creation process in the social media environment. For each of the process’s five stages, the objectives to be accomplished by the social media operator and the means to complete the objectives are illustrated.Research limitations/implicationsThis study illustrated the proposed model with a representative service firm. Future study may refine the model by gathering additional data from real implementations to improve its effectiveness in practice.Practical implicationsThis study suggests how an enterprise can construct a consumer co-creation platform from a managerial perspective. The proposed model can serve as a reference that enterprises can implement to increase customer value through co-creation using social media.Originality/valueEnterprises have begun to notice the power of serving as a platform for co-creating value with consumers. However, it is seldom related to literature. The proposed model of the co-creation process in the social media environment can supplement past research.
Managing the downside effect of a productivity orientation
Authors: Ye Jun , King Jesse 
Published: May 2016

Purpose
Although many service organizations have adopted a productivity orientation to respond to increasing market challenges, the unanticipated downside effect of such an orientation is not well understood. For managers, it is interesting to know if this strategic initiative is working and how to implement it more successfully.

Design/methodology/approach
The theoretical model used in this paper is tested with a survey of 879 frontline employees from five different health-care organizations.

Findings
The authors find evidence of a trade-off when a productivity orientation is adopted. A productivity orientation improves frontline service employee productivity performance but indirectly harms quality performance and job satisfaction. The authors find further evidence that trust in management helps to mitigate these negative effects.

Research Limitations/implications
This paper suggests that a productivity orientation must be managed carefully. Efficiency improvements may be overshadowed by reduced quality and job satisfaction. Limitations arise from the self-reported survey data.

Practical Implications
The results suggest that employees who trust their managers are better able to cope with the stressors arising from increased productivity demands.

Originality/value
To the authors’ best knowledge, no research has systematically examined the process and potential hazards of implementing a productivity orientation from a frontline employee perspective. The current paper reveals the mechanisms by which a productivity orientation influences frontline employees’ change perceptions and performance and shows that employee trust in management may buffer the downside effects of a productivity orientation.
Retrospective: efficiency in service delivery: technological or humanistic approaches?
Authors: Kelley Scott W. 
Published: May 2016

Purpose
The purpose of this paper is to provide a retrospective evaluation of the findings first put forward in the article Efficiency in Service Delivery: Technological or Humanistic Approaches?, and to offer directions for further research and developments in the research area.

Design/methodology/approach
Research directions which emanated from the publication of the article have been examined in the light of current service(s) marketing theory and practice. As a result, promising current and future strands of research have been identified.

Findings
The original article examined technological and humanistic approaches to improving service delivery efficiency. In doing so, it included two services classification schemes which provided context for the managerial implications presented. The original article was published in 1989. Much has changed since then, especially with regard to technological approaches to service delivery. However, the implications included in the original article for the most part hold. Future researchers are offered a variety of possible directions to pursue in light of the changes, especially in technology, that have occurred since the publication of the original article.

Originality/value
The original article was highly rated and generated discussion and important further research. It has value as part of the history of service(s) marketing research. The retrospective analysis by the author gives a unique insight into processes and thinking associated with understanding key aspects that contribute to the historical development of service(s) marketing, and provides substantial food for thought for future research directions.
Assessing rock brittleness and fracability from radial variation of elastic wave velocities from borehole acoustic logging
Authors: Tang Xiao‐Ming , Xu Song , Zhuang Chun‐Xi , Su Yuan‐Da , Chen Xue‐Lian 
Published: May 2016

ABSTRACTRock brittleness and fracability of subsurface formations are two important parameters for hydraulic fracturing in hydrocarbon reservoir production. This paper presents an effective technique to assess these parameters using the radial variation of compressional and shear velocities from borehole acoustic logging. Our technique is based on a rock mechanic phenomenon that a brittle rock with high fracability tends to leave a significant amount of drilling‐induced cracks at the borehole wall, resulting in radial elastic wave velocity variation away from borehole. By determining the velocity variation, the combined effects of brittleness and fracability of formation rocks can be assessed. The compressional‐wave travel‐time tomography and flexural shear‐wave inversion methods are respectively used to obtain compressional‐ and shear‐velocity variations. Well‐log data analysis examples demonstrate the practicability and effectiveness of this technique.