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Policy makers and practitioners argue that electronic exchange of clinical data across the healthcare system is a key component of improving health service delivery in the United States. Provider administrators, however, question the strategic value of participation in health information exchanges (HIEs) and remain reluctant to participate. Existing research fails to adequately illuminate the potential value derived from HIEs by participating organizations. This paper addresses this gap by developing a conceptual model informed by the complementary theoretical perspectives of the relational view and systems theory to specify both a provider organizationʼs internal conditions and the HIE structure necessary for both financial accrual and quality improvement. This two-sided model can assist policymakers as they attempt to encourage HIE development, as well as provider and HIE leadership that seek to benefit from HIEs. The propositions developed from this model can also help guide researchers as they evaluate the impact of HIEs.

The purpose of this paper is to propose an extensiveness intelligent hybrid model to short-term load electricity forecast that can simultaneously model the seasonal complicated nonlinear uncertain patterns in the data. For this purpose, a fuzzy seasonal version of the multilayer perceptrons (MLP) is developed.

In this paper, an extended fuzzy seasonal version of classic MLP is proposed using basic concepts of seasonal modeling and fuzzy logic. The fundamental goal behind the proposed model is to improve the modeling comprehensiveness of traditional MLP in such a way that they can simultaneously model seasonal and fuzzy patterns and structures, in addition to the regular nonseasonal and crisp patterns and structures.

Eventually, the effectiveness and predictive capability of the proposed model are examined and compared with its components and some other models. Empirical results of the electricity load forecasting indicate that the proposed model can achieve more accurate and also lower risk rather than classic MLP and some other fuzzy/nonfuzzy, seasonal nonseasonal, statistical/intelligent models.

One of the most appropriate modeling tools and widely used techniques for electricity load forecasting is artificial neural networks (ANNs). The popularity of such models comes from their unique advantages such as nonlinearity, universally, generality, self-adaptively and so on. However, despite all benefits of these methods, owing to the specific features of electricity markets and also simultaneously existing different patterns and structures in the electrical data sets, they are insufficient to achieve decided forecasts, lonely. The major weaknesses of ANNs for achieving more accurate, low-risk results are seasonality and uncertainty. In this paper, the ability of the modeling seasonal and uncertain patterns has been added to other unique capabilities of traditional MLP in complex nonlinear patterns modeling.

The main purpose of paper is to analyse the political, military and strategic significance of China’s rising power and its influence on Sino-Indian relations, while addressing the question as to why India has not been able to develop a long-term, stable and friendly relationship with China.

The paper is structured as follows: historical overview of India-China relations; various tools of China’s policy in Indian sub-continent; and India’s response. The paper employs a qualitative analysis of secondary literature, with media reports, official documents and public statements providing important sources for understanding the dynamics underlying bilateral relationship.

India needs to be prepared to face challenges as China’s charm offensive in India’s neighbourhood is primarily aimed at establishing a new Asian order in which Beijing would play the leading role. As China institutionalizes its military presence in South Asia and the Indian Ocean, India should adopt an innovative response mechanism, also involving counter-presence in areas considered China’s traditional sphere of influence.

The primary value of the paper lies in the fact that it covers most of the key dimensions of bilateral ties that impair a stable relationship between India and China. A proper understanding of the dynamics underlying bilateral ties may help the policymakers, scholars and academics to suggest ways to reduce sources of tensions, while also helping the Indian Government to prepare effective countermeasures.

The paper aims to demonstrate the utilization of banks’ career website for publicizing the employer branding strategy to enable effective strategic talent relationship management through talent attraction, engagement and retention.

A qualitative approach using purposive sample comprising HR professionals involving HR directors, reward managers and talent relationship managers, participated in semi-structured interviews.

This paper provides empirical insights on the use of career websites to disseminate the employer brand. The findings reveal the presence of recruitment orientation career websites across the banking sector. It also conveys HR practitioners’ suggestions for revamping the banks’ career websites to a more screening orientation approach for greater interactivity by both the internal and external talent pools.

The paper depicts the importance attributed around the utilization of career websites in promoting the employer brand by the HR community across the banking sector. It provides clear insights about the specific contents of career websites to enable sustainable talent attraction, engagement and retention.

This paper provides a qualitative insight to the study of employer branding and career websites. Whereas most previous research on career websites have been of a quantitative nature relying predominantly on fictitious websites, having mostly undergraduate students as research participants. This study contributes enormously to the existing literature and practice by unveiling the perceptions of HR professionals on the dissemination of the employer brand through the career website.

The effective transfer of knowledge within an organization is critical for its sustainable competitive advantage. Based on the norm of reciprocity, it can be concluded that individuals’ primary motivation to transfer their treasured knowledge can be summarized as “trust,” that is, the individuals trust their selfless transfer behavior can be reciprocated by the recipients in the future.

In this study, a simulation model based on knowledge transfer behavior and reciprocal trust between individuals is built through agent-based modeling and simulation to investigate the factors that influence the efficiency of knowledge transfer within an organization.

Experiments are performed to test the impact of reciprocal trust and organizational structure on the efficiency of knowledge transfer.

The results indicate a significant role of key elements of reciprocal trust and organizational structure, which provides relevant practical guidance for both individuals and organization managers in the context of knowledge transfer.

Social media is a popular source for information sharing in the contemporary world. Social media allow individuals to create, publish and diffuse contents directly. This openness has increased the risk of running into misinformation and raised questions about credibility of information shared. This study aims to examine the credibility of social media through the perceptions of university students. It also intends to see the difference in opinions based on their gender, academic disciplines and programs of study.

The study was based on a cross-sectional survey; a structured questionnaire was developed by consulting the relevant literature. Students were selected on convenient basis from all the programs of four universities of Faisalabad, Pakistan. Four hundred students were selected randomly from each university.

The findings indicated that students considered social media partially credible. Currency, community wellness, understandability and completeness of information were the highly rated facets, while factual and unbiased information was the low rated aspects. The perceived credibility of social media among the university students was the same across genders, programs of study and academic disciplines.

The study may be helpful for social media service providers to address the concerns that students had in their perception regarding its credibility.

This study may likely benefit faculty members, researchers, librarians/information professionals and digital libraries to understand the students’ concerns about social media credibility from a developing country’s perspective. Such understanding will enable them to better address, educate and train university students at how to evaluate the quality of information on social media by offering information literacy programs. It is direly needed that university libraries should train the students to be proficient in assessing the quality of information by offering information or digital literacy programs. Moreover, the study may be helpful for social media service providers to address the concerns that students had in their perception regarding its credibility.

Drawing from the instrumental and symbolic framework for employer branding, this study aims to explore the perception of the current and potential employees for the Indian armed forces’ employer brand.

The study is conducted as a mixed-method approach in the form of qualitative and quantitative phases. In the qualitative phase, online reviews of current employees were collected from glassdoor.com and analysis was conducted. While in the quantitative phase, data were collected through questionnaire from 200 potential candidates who were interested in joining the armed forces.[AQ1] Confirmatory factor analysis (CFA) for instrument validity and regression analysis, for finding significant factors, were used for data analysis.

The qualitative results indicate that the current employee's perception fits the instrumental and symbolic framework. Additionally, variables such as discrimination in positions, risk, stress, confidence and personality development were also identified. The CFA and regression analysis results were found to be significant on the instrumental dimensions – job security and task diversity and symbolic dimensions – competence.

The study emphasizes the important instrumental and symbolic attributes for both current and potential employees. Thus, the armed forces can use these as a base for strategy formulation regarding employer branding.

Studies have found that founders of start-up companies are similar to students in certain psychological characteristics. Confirming this similarity would have methodological and phenomenological implications. Phenomenologically, students are a main source for recruitment in start-up companies. Methodologically, students are a more convenient sample to study than start-up founders. The paper aims to discuss these issues.

The resemblance between students and start-up founders is tested by analyses of variance of the responses of 1,509 students and 53 start-up founders to a questionnaire survey.

The results indicate that, as a population, students are not entirely similar to start-up founders, though similarities were found to exist. The closest resemblance between students and founders was found for managerial, armed forces/police and medicine students; agricultural, humanities and natural science students had the least resemblance.

Although student samples are commonly used in the study of management phenomena, the validity of this approach has not hitherto been tested, which indicates that the use of student subjects as stand-ins for start-up founders may be a practice without a solid foundation.

This study investigates the role of personality disorders in the context of counterproductive knowledge behavior.

Data were collected through a survey administered to 120 full-time employees recruited from Amazon’s Mechanical Turk. Personality disorders were measured by means of the Millon Clinical Multiaxial Inventory-IV.

Personality disorders play an important role in the context of counterproductive knowledge behavior: employees suffering from various personality disorders are likely to hide knowledge from their fellow coworkers and engage in knowledge sabotage. Of particular importance are dependent, narcissistic and sadistic personality disorders as well as schizophrenic and delusional severe clinical syndromes. There is a need for a paradigm shift in terms of how the research community should portray those who engage in counterproductive knowledge behavior, reconsidering the underlying assumption that all of them act deliberately, consciously and rationally. Unexpectedly, most personality disorders do not facilitate knowledge hoarding.

Organizations should provide insurance coverage for the treatment of personality disorders, assist those seeking treatment, inform employees about the existence of personality disorders in the workplace and their impact on interemployee relationships, facilitate a stress-free work environment, remove social stigma that may be associated with personality disorders and, as a last resort, reassign workers suffering from extreme forms of personality disorders to tasks that require less interemployee interaction (instead of terminating them).

To the best of the authors’ knowledge, this work represents one of the first attempts to empirically investigate the notion of personality disorders in the context of knowledge management.

The purpose of this paper is to identify the barriers to consumers’ intention to purchase energy efficient appliances. It uses multiple regression analysis to predict the factors that deter consumers’ purchase intention.

Five barriers to consumers’ intention to purchase energy efficient appliances were identified through an exhaustive literature survey. Data were gathered from 300 respondents from Pune city from the state of Maharashtra in India through a survey. The items were measured on a five-point Likert scale. Validity and reliability of the scale were established. Multiple regression analysis was conducted to predict consumers’ intention to purchase energy efficient appliances based on factors identified.

Findings revealed that some degree of uncertainty was associated with energy efficient appliance purchase. In addition to possessing lower degrees of awareness on energy efficient appliances, consumers tend to disbelieve claims made on labels of energy efficient appliances. Consumers also feel inconvenience in identifying these appliances, spending time to know about them and paying the price to purchase them. Hence, the factors – scepticism towards label claims and perceived personal inconvenience – were found to have negative impact on consumers’ purchase intention. Societal norm was found to have a positive impact on consumers’ purchase intention. Interestingly, price sensitivity and perceived product risk (which were expected to have a negative relationship with consumers’ purchase intention) displayed a positive relationship.

The model proposed here is based on the researcher’s identification of the barriers. There might have been unidentified barriers that were not considered. The research does not account for manufacturing or policy-based issues that might also pose as barriers. The study encourages marketers to re-examine marketing and communication policies associated with the sale of energy efficient appliances.

The paper provides insights into the external barriers faced by consumers while purchasing an energy efficient appliance. This research enables managers to understand consumer’s preference for conventional products over energy efficient ones. It attempts to check the presence of barriers to energy efficient appliances, identified from literature in a tier 1 city of India. Tier 1 city is the city with population greater than 1,00,000 as per 2001 census of India.