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Health Information Exchange (HIE) is essential for the efficient and cost-effective delivery of health-care services. The provider’s administrative structure and external environment can substantially influence adopting technologies involving inter-organizational linkages, such as HIE. Using the theoretical lens of institutional theory, this study aims to compare how public and private hospitals' engagement in HIE is influenced by corruption and government online services or e-government usage.

The study uses the positivist research design of secondary data analysis to test the six hypotheses proposed. Data from multiple third-party reliable sources, including the European Commission and World Bank, are combined into the final dataset consisting of observations from 1,442 hospitals across 30 countries in Europe. A multilevel modeling approach is used to associate country and hospital-level variables and test the hypothesis.

The study finds that, on average, a 10% increase in corruption leads to a 6.3% decrease, while a 10% increase in e-government leads to a 7% increase in the probability of HIE engagement for a hospital. The negative impact of corruption on average is 18% more in public than private hospitals, while the positive impact of e-government is 75% stronger in public in comparison to private hospitals. The study also finds that HIE engagements in health systems with predominantly public hospitals are more sensitive to corruption and e-government.

To the best of the authors’ knowledge, the study is one of the first to use the institutional view to test the influence of government actions and public providers' concentration on HIE engagement. The comparison of public and private institutions enriches our understanding of promoters and inhibitors of HIE.

The purpose of this paper is to determine how best to build online advocates for a food company’s brand based on data available from the brand’s Facebook pages. Specific research objectives are to study examine whether incentivizing actions such as “liking,” sharing or commenting on a brand’s Facebook impacts the brand community’s sentiment and engagement with the brand, and whether such engagement is different for different actions (e.g. liking vs sharing).

To achieve the objectives of this research, sentiment analysis is performed on Facebook insight data from a Fortune 500 company, consisting of fans’ comments, shares and “likes” for promotional and fan posts pertaining to one of its brands. Paired samples t-tests are performed to assess differences in sentiment and engagement before and after each promotional post.

The results do not support a strong impact of promotional posts on overall sentiment. However, there is evidence in support of a positive impact of the campaigns on overall wall-level engagement with the brand. Moreover, the levels of engagement are not the same for all promotional posts. Rather, some posts resulted in much higher engagement levels than others, suggesting that not all incentivized campaigns are created equal.

The study used the data from only one of company’s many brands. Therefore, similar studies on other brands are warranted.

Social networking sites are increasing in numbers, and more and more businesses are embracing social networks and/or blogs as part of their marketing platforms. Many companies offer coupons and incentives on social media to entice customers to engage with their social media platforms as well as buy products. The study results provide valuable insight into the effectiveness of different kinds of social media promotional campaigns, and can help managers decide which campaigns to implement to achieve specific objectives.

This research adds to the literature in two ways. First, it contributes to the limited literature on the effectiveness of incentivized social media campaign. Second, it contributes to the social media analytics literature by demonstrating how sentiment analysis can be used along with other statistical procedures to make sense of qualitative social media data.

Enterprise resource planning (ERP) systems provide functions to calculate safety stock (SS), make demand forecast and determine reorder point (ROP) for each item contained in the database based on the item’s demand history. Most ERP systems are ill‐equipped to deal with the demand of slow moving items such as spare parts. Based on data from a Fortune 500 company, presents the development and evaluation of a spare parts inventory control model. Compares the proposed model with the results achieved using the forecasting and inventory management modules of a popular ERP system. Tested with computer simulation, the proposed model significantly outperforms the commercial ERP model on both measures of service level and expected total annual cost.

The purpose of this paper is to study major man‐made system disasters and to suggest a solution for filling the noted gaps in control systems interfaces and to render those vital considerations for the next‐generation disaster management control systems.

This research analyzes the nature of large‐scale disasters and observes that most man‐made system disasters are composed of many related events that interact with one another.

The findings show evidence of a common path to catastrophe. These functional failures resulted from the information gaps that eventually contribute to the development of a tragedy. Because of the intricate interconnections among related events of a developed calamity, an integrated approach to man‐made disaster detection and prevention as well as emergency management is required.

Conducting an analysis of the typical contingency control structures, the authors suggest that disaster or emergency managers adopt a pessimistic and quasi‐intelligent orientation to monitor and control critical systems.

This research presents a generic threat‐driven disaster management control system design with advanced model bases and decision support technologies to enhance conventional disaster management control systems and to supplement management responses so that the sphere and magnitude of damage can be minimized.

This paper applies an analytical framework to assess e‐commerce (EC) Web sites of large US firms. It first examines the available EC operation modes and then discusses the EC factors – product, process, customer, and market – that influence the EC modes adoption. The Web sites of 50 Fortune 500 firms were randomly selected and analyzed. The findings show the current state of large US firms Web EC modes implementation and the characteristics of their EC factors.

Enterprise resource planning (ERP) and supply‐chain management (SCM) have been growing in popularity across various industries. New initiatives in resources planning, electronic commerce and extended supply chain drive the trend among corporations towards integrating strategic business applications. ERP systems assist enterprises in automating and integrating corporate cross‐functions such as inventory control, procurement, distribution, finance and project management. Through information sharing, SCM enables supply‐chain partners to work in close coordination to facilitate supplier‐customer interactions and minimize transaction cost. This research examines these two important concepts in terms of their evolution, functions and current development and further explores the rationales for their integration by analyzing the problems of ERP and presenting the solutions of SCM. This study is concluded with the imminent development of SCM and EPR systems and the industrial trend toward their integration.

The Internet added another dimension to traditional commerce when online business became available. Because of the mushroom growth of online businesses in the late 1990s, DotCom bubbles began to burst after the initial euphoria of e‐commerce. Since mid‐2000, the mass failure of DotComs has had a significant impact on the e‐ecosystem. However, there were strong survivors and successful DotComs as well. Employing a comparative analysis, this study investigates the causes for DotCom failures and successes. The examination found that successful DotComs overcame the technical, operational and behavioral shortcomings of their failed counterparts and led the way in logistics, customer support, Web design, promotion and Internet security.

An e‐fulfillment system is designed to meet the high order volume and stringent customer service requirements of global business‐to‐consumer e‐commerce. The system converts the traditional warehouse into a multi‐channel e‐fulfillment center. In the e‐commerce environment, some of the toughest decisions must be made on little or no hard information. In this study, the nature of e‐business and the typical fulfillment process are discussed. The authors further examine the strategy and operational requirements for e‐fulfillment. This article is concluded with the implication of a successful e‐fulfillment system, a suggested design of an e‐fulfillment center, and the future research focuses.

Although perceived risk and usefulness have been identified as two major factors that influence consumer acceptance of an innovative mobile payment (m-payment), relatively few researchers have explored the impact of affective factors on perceived risk and usefulness, and the relationship between perceived risk and usefulness. Also, it is unclear whether there is a difference in the acceptance intention among users across different diffusion stages of this innovation. The purpose of this paper is to investigate the role of positive emotion in consumer acceptance of WeChat payment across time.

This study proposed and validated a framework integrating the consumer response system model and the affect heuristic. A total of 484 valid responses were collected through two online surveys at two diffusion stages of WeChat payment technology. The structural equation modeling and multigroup analysis were used to test the hypotheses.

The results show that users’ acceptance intention is relatively related to perceived risk, perceived usefulness, and positive emotion. Positive emotion has a strong negative impact on perceived risk and a positive impact on perceived usefulness. Also, perceived usefulness strongly decreases users’ perception of risk. Multigroup analyses find that both positive emotion and perceived risk have significant positive and negative impacts on acceptance intention at the stage of market introduction rather than market growth. Rather, the influence of positive usefulness on acceptance intention is significantly higher at the stage of market growth than at market introduction.

This study indicates that exploring the role of positive emotion and the moderating effect of diffusion stages in m-payment acceptance provides a more comprehensive understanding of how to achieve a greater acceptance rate of an innovative m-payment.

Reviews the latest management developments across the globe and pinpoints practical implications from cutting‐edge research and case studies.

We scan the top 400 management publications in the world to identify the most topical issues and latest concepts. These are presented in an easy‐to‐digest briefing of no more than 1,500 words.

The huge upsurge in online retailing in the late 1990s made many believe that the future had come early. Pundits predicted the decline of traditional retailing and fledgling companies achieved incredible stock values on the strength of ideas not products. However, within a few years the bubble had burst not only leaving disillusioned customers and investors but also prompting a massive rethink about e‐commerce in general. Now the euphoria has evaporated it's clear that DotCom failure and success both depend on old‐fashioned business know‐how, technical expertise and understanding the new medium.

Provides strategic insights and practical thinking that have influenced some of the world's leading organizations.

The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy‐to digest format.