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The context in which an innovation is implemented is an important and often neglected mediator of change. A prospective payment system (PPS) for psychiatric and psychosomatic facilities with major implications for inpatient psychiatric care in Germany was implemented from 2013 to 2017. This study aims to examine the determinants of implementation of this government policy using the Diffusion of Innovations theory and consider the role of context.

An exploratory case study was conducted in two wards of a psychiatric hospital in Germany: geriatric psychiatry (GerP) and general psychiatry (GenP). Fifteen interviews were conducted with different occupational groups and analyzed in-depths. Routine hospital data were analyzed for delimiting the two contexts.

Routine hospital data show a higher day-mix index (1.08 vs. 0.94) in the GerP context and a very different structure regarding PPS groups, indicating a higher patient complexity. Two types of factors influencing implementation were identified: Context-independent factors included social separation between nurses and doctors, poor communication behavior between the groups and a lack of conveying information about the underlying principles of the PPS. Context-dependent factors included compatibility of the new requirements with existing routines and the relative advantage of the PPS, which were both perceived to be lower in the GerP context.

Depending on the patient characteristics in the specific context, compatibility with existing routines should be ensured when implementing. Clear communication of the underlying principles and reduction of organizational and communicative barriers between professional groups are crucial success factors for implementing such innovations.

This study shows how a diffusion process takes place in an organization even after the organization adopts an innovation. The authors could show how contextual differences in terms of patient characteristics result in different determinants of implementation from the views of the employees affected by the innovation.

Healthcare systems are under pressure to improve their performance, while at the same time facing severe resource constraints, particularly workforce shortages. By applying resource-dependency-theory (RDT), we explore how healthcare organizations in different settings perceive pressure arising from uncertain access to resources and examine organizational strategies they deploy to secure resources.

A cross-sectional survey of key decision-makers in different healthcare settings in the metropolitan area of Cologne, Germany, on perceptions of pressure arising from the environment and respective strategies was conducted. For comparisons between settings radar charts, Kruskal–Wallis test and Fisher–Yates test were applied. Additionally, correlation analyses were conducted.

A sample of n = 237(13%) key informants participated and reported high pressure caused by bureaucracy, time constraints and recruiting qualified staff. Hospitals, inpatient and outpatient nursing care organizations felt most pressurized. As suggested by RDT, organizations in highly pressurized settings deployed the most vociferous strategies to secure resources, particularly in relation to personnel development.

This study is one of the few studies that focuses on the environment's impact on healthcare organizations across a variety of settings. RDT is a helpful theoretical foundation for understanding the environment's impact on organizational strategies. The substantial variations found between healthcare settings indicate that those settings potentially require specific strategies when seeking to address scarce resources and high demands. The results draw attention to the high level of pressure on healthcare organizations which presumably is passed down to managers, healthcare professionals, patients and relatives.

The purpose of this paper is to test the female entrepreneurship underperformance hypothesis using a sample of small firms. The paper also attempts to explain why gender matters in entrepreneurship. The paper specifically investigates the differences in turnover of female and male entrepreneurs and also examines the reasons behind this differential performance by accounting for the gender factor.

This study uses survey data on 256 male and female entrepreneurs from the Island of Mauritius. The survey allows for the examination of the performance differential across male- and female-owned small businesses. The paper uses ordinary least squares and logistic estimation techniques to investigate the underperformance of female entrepreneurs. Sensitivity analyses are also undertaken to ensure robustness of the results.

The study finds evidence that gender matters when comparing the performance of male- and female-owned businesses. The results reveal that access to finance is an important hindrance to the performance of these small firms. Furthermore, the study also reveals that ethnicity plays a major role in influencing firm performance.

This paper is among the few studies, which investigates the female entrepreneurship underperformance hypothesis in a small developing state context and also attempts to explain the reasons why gender matters. The paper is an important empirical contribution to the literature in an African context.

This study investigated consumer perceptions of AI chatbots focusing on sentiment analysis across Twitter (X) and Reddit during ChatGPT3 through ChatGPT4 launches. It identifies user sentiments: positive, negative, or neutral and explores their impact on chatbot deployment in interactive marketing. The goal was to understand consumer engagement dynamics and provide insights for enhancing marketing strategies and consumer interactions with chatbots.

Using sentiment analysis, this research examined the nature and scope of discussions surrounding AI chatbots. This methodological approach allowed for a nuanced understanding of the predominant sentiments: positive, negative, or neutral, expressed by users providing insights into consumer engagement and interaction patterns.

The findings reveal a diverse range of consumer sentiments toward ChatGPT 3, reflecting varying degrees of acceptance and skepticism. These varied sentiments are crucial for organizations in shaping their interactive marketing strategies, particularly in how they deploy chatbots for consumer engagement and brand interaction.

Trust and positive sentiment toward ChatGPT, particularly on platforms like Twitter and Reddit, suggest it is becoming part of everyday life. However, concerns about its impact on human jobs and the lack of emotional intelligence persist. Users still weigh the benefits and drawbacks of ChatGPT, with negative and neutral sentiments reflecting these worries. For interactive marketers, this presents an opportunity to differentiate through human interaction in customer-facing roles. Addressing the risks and ethical concerns of AI, marketers can better engage consumers and refine strategies for future chatbot deployments, ensuring AI enhances rather than detracts from the customer experience.

This paper makes a unique contribution to the existing literature by demonstrating how consumer perceptions, rather than mere acceptance, directly influence the strategic use of AI chatbots in interactive marketing. By focusing on perceptions, this study offers deeper insights from social media sentiment analysis that can refine marketing campaigns and enhance consumer engagement with emerging technologies in the digital landscape.

The purpose of this paper is to evaluate the possible advantages of applying prediction markets to supply network management. Are the same encouraging results possible as in the election application of prediction markets?

This is a paper focused on the requirements and the possible results of the application based on the literature for supply network management and prediction markets. It discusses the potential of prediction markets to improve information management in supply networks.

The paper finds that prediction markets are a new instrument to collect the diverse information among the supply chain members, and to publish this information to the other members.

Prediction markets are able to improve the information basis for decision making in supply chains.

This paper shows the application of prediction markets in a supply network management case and the possibilities and limitations of prediction markets to collect, and publish information within the supply chain.

The purpose of this paper is to investigate the possibility of using the new marketing research tool of prediction markets (PMs), which integrates customers to into the marketing research process. The research questions are: does taking part in PMs influence customers’ brand perception? Is there a danger of damaging a brand through this tool?

The paper uses a series of five short-term (less than one hour) and five long-term (three weeks) experimental online PMs where customers are integrated into marketing research and apply a series of online-surveys before and after taking part as virtual stock market traders. Subjects of research are taken from the sporting goods industry.

The paper shows that PMs can be used by marketing researchers without the danger of damaging the brand of the products that are subject of the PMs, although customers are being integrated to improve the markets’ forecasting accuracy.

The study's subject are medium priced sporting goods only. Possibly in other product fields, results may differ. Thus, the authors see a field for further research in this limitation.

Managers for marketing intelligence have more reason to make use of the efficient and rather new tool, PMs. Marketers can potentially improve their forecasting accuracy by integrating customer information into their reports. In addition, the authors see a high potential in the area of innovation management as well.

There has been no research on perceptions of PMs and brands at all so far.

What causes the downward trend of real interest rates in major developed economies since the 1980s? What are the challenges of the near-zero interest and inflation rates for monetary policy? What can the policymakers learn from the latest developments in the monetary and interest rate theory? This paper aims to answer these questions by reviewing both basic principles of interest rate determination and recent academic and policy debates.

The paper critically reviews the explanations for the downward trend of real interest rates in recent decades and monetary policy options in a near-zero interest rate environment.

The decline of real interest rates is likely an outcome of multiple technological, social and economic factors including diminished productivity growth, changing demographics, elevated tail-risk concerns, time-varying convenience yields of safe assets, increased global demand for safe assets, rising wealth and income inequality, falling relative price of capital, accommodative monetary policies, and changes in industry structure that alter the investment and saving behaviors of the corporate sector. The near-zero interest rate limits the space of central banks' response to economic crises. It also challenges some conventional wisdoms of monetary theory and sparks radically new ideas about monetary policy.

This survey differs from the existing work by taking a broader view of both economics and finance literature. It critically assesses the economic forces driving the global decline of real interest rates through the lens of basic principles and empirical evidence and discusses the merits and limitations of each proposed explanation. The study emphasizes the importance of a better understanding of economic forces driving diverging trends of corporate investment and saving behaviors. It also discusses the implications of the neo-Fisherism and the fiscal theory of price level for monetary policy in a low interest rate environment.

This study aims to evaluate the knowledge structure of halal certification in food and beverages. The growth of the Muslim population and the expanding economic activities among the Muslim community have necessitated extensive and comprehensive halal certification, particularly in food and beverage products.

Through a science mapping approach, this study explores the knowledge structure based on past publications in food and beverages and its association with halal certification, logos and brands. Applying bibliographic coupling and co-word analysis, the present and future trends of halal certification in food and beverages are explored by presenting a network visualization to present the underlying themes and research streams.

The main finding from recent and emerging themes shows that the pivotal perspective is increasing consumers’ knowledge and awareness of halal-certified food products. Future trends stemming from the co-word analysis suggest the importance of exploring consumer halal food product determinants.

This study is relevant to stakeholders, scholars and practitioners, particularly in disseminating information and voice on the importance of halal-certified food products that are recognized as having better quality and contributing to environmental sustainability.