Search results

The initial observation of this study is the gap of research in the economic application of data spaces in wholesale. With the lowering threshold in using digital technology in innovative services wholesale is confronted with new competition in their main business – the purchase and sale of products in large numbers. Wholesale must advance in their own business creating new digital services for their customers to stay relevant competitors in their markets.

The design follows an explorative, heuristic and interdisciplinary approach (social sciences and in-formation systems) of a multiple case study combining semi-structured, open and participating observation in three case studies. The cases were set in tourism, construction, as well as manufacturing and were each scientifically accompanied for more than one year during the identification of implementation of strategies for data spaces as digital entrepreneurial path.

The study shows four strategies in the implementation of data spaces in traditional wholesale. These data spaces have their focus in (1) the traded commodity with two specificities (1a and 1b), (2) the customer and (3) the cooperation of an ecosystem of companies. Each have their own challenges, chances and specifications like the data sovereignty. These strategies are embedded in the behavior of digital entrepreneurship.

This study accompanied and observed the entrepreneurial strategies of three wholesalers discovering new opportunities enabled via data spaces. These three strategies follow different approaches offering potentials for other wholesalers.

The transition to omnichannel retail is the recognized future of retail, which uses digital technologies (e.g. augmented reality shopping assistants) to enhance the customer shopping experience. However, retailers struggle with the implementation of such technologies in brick-and-mortar stores. Against this background, the present study investigates the impact of a smartphone-based augmented reality shopping assistant application, which uses personalized recommendations and explainable artificial intelligence features on customer shopping experiences.

The authors follow a design science research approach to develop a shopping assistant application artifact, evaluated by means of an online experiment (n = 252), providing both qualitative and quantitative data.

Results indicate a positive impact of the augmented reality shopping assistant application on customers' perception of brick-and-mortar shopping experiences. Based on the empirical insights this study also identifies possible improvements of the artifact.

This study's assessment is limited to an online evaluation approach. Therefore, future studies should test actual usage of the technology in brick-and-mortar stores. Contrary to the suggestions of established theories (i.e. technology acceptance model, uses and gratification theory), this study shows that an increase of shopping experience does not always convert into an increase in the intention to purchase or to visit a brick-and-mortar store. Additionally, this study provides novel design principles and ideas for crafting augmented reality shopping assistant applications that can be used by future researchers to create advanced versions of such applications.

This paper demonstrates that a shopping assistant artifact provides a good opportunity to enhance users' shopping experience on their path-to-purchase, as it can support customers by providing rich information (e.g. explainable recommendations) for decision-making along the customer shopping journey.

This paper shows that smartphone-based augmented reality shopping assistant applications have the potential to increase the competitive power of brick-and-mortar retailers.

The researchers and policy makers worldwide have proposed many ideas for smart cities and homes in urban areas. The extensive work done for urban smart homes neglects the unique constraints of homes at remote mountain tops and deserts and rural village homes. The purpose of this paper is to propose a smart energy management system for a self-sustained home of any type situated in any geographical location with the availability of renewable energy sources like solar, etc. The purpose is mainly to highlight the importance and advantages of direct current (DC) homes with DC loads rather than a conventional alternating current (AC) home with both AC and DC loads. An attempt has been made to evolve a multi-agent coordinated control for the low voltage direct current (LVDC) smart home system.

LVDC supply systems with in situ power generation are providing an efficient solution for the energy needs of a DC smart home. The individual sub-systems of the LVDC system have their unique functions and priorities and hence require both coordinated and independent control. The entire DC smart home system is modeled in the Matlab and codes are implemented for each agent of the home. LVDC grid is operating either in battery connected mode or utility grid-connected mode, and the DC link voltage is held constant in both the cases. Energy imported from the utility grid is minimized by load shedding during the rectifier mode of the bidirectional converter. In addition, load shedding is also done when the battery is discharging to increase the discharge time of the battery. Load shedding is done on the basis of a fixed priority of loads. A 48 s simulation is performed on the Matlab model to bring out the 24-hour operation of the proposed system. Various modes are simulated and the corresponding actions of the agents are tested.

A new control strategy with agents for each sub-system of the LVDC system is presented. Each individual agent works in tandem with other agents and meets its own control imperatives without compromising the requirements of the overall system. Unlike the centralized control system, the proposed control strategy is a distributed control system. The control algorithm for each of the agents is developed, and the pseudo code is presented. The results of the simulation of the proposed scheme are presented to confirm the usefulness of the new control approach.

The multi-agent concept for an energy management system is less addressed and thus its potential for efficient home energy management is presented. The proposed multi-agent strategy for a complete DC smart home with exclusive DC loads is not done earlier and is reported for the first time. The success of this strategy can be extended to other DC micro-grid systems like telecom power systems, ships, aircraft, datacentres, server rooms, residential complexes and commercial malls.

This chapter examines the everyday experiences of short women, focusing on the problems they face and the coping strategies used to navigate being short in a heightist society. Further, this chapter views height as a stigmatized identity, which both negatively and positively impacts short women.

Sixteen qualitative interviews were conducted with women 5′2″ and under.

Using the literature on stress, and coping models laid out by social psychologists, this chapter elucidates the unique place of short women in American society.

While there has been a wealth of literature on how short stature impacts men, research on how short stature impacts women has been scant.

The purpose of this paper is to describe the patterns of self-disclosure of long-term conditions at work by health professionals in a large regional health service. Recent research by the authors has reported on the self-reported long-term conditions of nursing, medical and allied health staff within a large regional hospital and health service in North Queensland, Australia. Data regarding self-disclosure of health information were gathered during those two previous studies, but has yet to be reported. This current study thus offers the opportunity to explore and describe patterns of self-disclosure by a multi-disciplinary cohort of health professionals within that regional health service.

This current study was a component of two larger studies, reported elsewhere, which explored long-term conditions among health professional staff at a large regional health service in North Queensland, Australia. A cross-sectional survey design was used.

Decision-making associated with self-disclosure of long-term conditions by health professional staff in the workplace is multifactorial, and affected by considerations of age, gender, workplace circumstances and nature of the health condition. It also differs according to professional grouping. The medical profession were less likely than nurses and allied health workers to disclose to their work colleagues. Respondents with a mental health condition were more cautious and selective in their disclosures, and alone in being more likely to disclose to their supervisor than to colleagues; they were also most likely to value the sympathy and understanding of their colleagues and managers.

This study was conducted across only one large regional health service; a fuller picture of patterns of self-disclosure of long-term conditions by health professional staff would be gained by expanding the number of sites to include metropolitan hospitals, smaller rural or remote health services and non-hospital settings.

Healthcare organizations need to develop support strategies and communication processes so that staff with one or more long-term condition, particularly those that have associated stigma, are empowered to disclose information to line managers and colleagues without fear of discrimination, ostracism, incivility or bullying.

There is a paucity of evidence about self-disclosure of long-term conditions by health professionals and this study therefore makes an important contribution to the extant literature. The findings raise important questions about the culture and dynamics of health care organizations in respect to the patterns of self-disclosure of health professional staff.

This paper aims to investigate the experience of darkness on people’s evaluation of humorous taboo-themed ads and their willingness to share these ads digitally with others.

Multiple studies are conducted to demonstrate the connection between darkness and humor. Another experiment was conducted to investigate people’s willingness to share taboo-themed ads.

The results demonstrate that people in dark settings (vs light) found controversial, taboo-themed ads to be more humorous. Three studies demonstrate that people in the dark (vs light) condition found taboo-themed ads to be more humorous. More importantly, despite finding taboo-themed ads to be more humorous, people in dark settings (vs light) were less inclined to share these ads on social media platforms.

When using humorous taboo-themed ads, advertisers are encouraged to show these ads in dark settings. If the physical environment is uncontrollable, marketers may still benefit by cueing consumers about darkness (e.g. through their products) or reminding them of nightly activities which may also yield similar effects. However, the cautionary tale is that, although people in the dark may enjoy these ads, they may not be willing to share it with others.

Marketers utilize taboo-themed ads to increase consumer interest. Despite its controversial content, darkness enhances people’s evaluation toward these taboo-themed ads. However, if one of the goals of advertisers is to create an ad that is amenable to sharing, developing a humorous taboo-themed ad may not be the most rewarding strategy.

The business operations of today's enterprises are heavily influenced by numerous of internal and external business events. With the Event Driven Architecture and particularly the Complex Event Processing (CEP), the technology required for identifying complex correlations in these large amounts of event data right after its appearance has already emerged. The resulting gain in operational transparency builds the foundation for (near) real-time reactions. This motivated extensive research activities especially in the field of Business Process Management (BPM), which essentially coined the term Event-Driven BPM (EDBPM). Now, several years after the advent of this new concept, the purpose of this paper is to shed light to the question: where are we now on our way towards a sophisticated adoption of the CEP technology within BPM?

The research methodology of this paper is a structured literature analysis. It basically follows the procedure proposed by vom Brocke et al. (2009). This verified five-step process – entitled “Reconstructing the giant” – allowed a rigorous study. As a result, various research clusters were derived, whose state-of-the-art exposed existing research gaps within EDBPM.

First of all, the paper provides a concise conceptual basis on different application possibilities of EDBPM. Afterwards, it synthesizes current research into six clusters and highlights most significant work within them. Finally, a research agenda is proposed to tackle existing research gaps to pave the way towards fully realizing the potentials of the paradigm.

So far, a comparable study of the current state-of-the-art within EDBPM is non-existent. The findings of this paper, e.g. the proposed research agenda, help scholars to focus their research efforts on specific aspects that need to be considered in order to advance the adoption of the CEP technology within BPM.

While there has been a significant amount of research conducted on growth hormone (GH) in the field of medicine, very few studies have actually examined the experience from the vantage point of adults who were treated for short stature as children. On the basis of in-depth interviews with three women and two men, I explore the experiences of those who have firsthand knowledge of such treatment. What becomes clear in these narratives is that GH serves as both a normalizing and a stigmatizing force for the recipient. More broadly, this study seeks to contribute to the growing body of research on issues of physical appearance that plant the seeds for unequal treatment of individuals by society.