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1 – 10 of 214Leman Isik, Christina Nilsson, Johan Magnusson and Dina Koutsikouri
While digital transformation holds immense promise, organizations often fail to realize its benefits. This study aims to address how policies for digital transformation benefits…
Abstract
Purpose
While digital transformation holds immense promise, organizations often fail to realize its benefits. This study aims to address how policies for digital transformation benefits realization are translated into practice.
Design/methodology/approach
The authors apply a qualitative, comparative case study of two large, public-sector health care organizations in Sweden. Through document and interview data, the authors analyze the process of translation.
Findings
The study finds that practice variation is primarily caused by two types of decoupling: policy-practice and means-ends. Contrary to previous studies, coercion in policy compliance is not found to decrease practice variation.
Research limitations/implications
The limitations primarily stem from the empirical selection of two large public health-care organizations in Sweden, affecting the study’s generalizability. Reducing practice variation is more effectively achieved through goal alignment than coercion, leading to implications for the design of governance and control.
Practical implications
Policymakers should, instead of focusing on control-related compliance, work to align organizational objectives and policies to decrease practice variation for successful benefits realization.
Social implications
The study contributes to better benefits realization of digital transformation initiatives in health care. As such, the authors contribute to a better functioning and more transformative health care in times of increased demand and decreased supply of health-care services.
Originality/value
The study challenges conventional wisdom by identifying that coercion is less effective than goal alignment in reducing practice variation, thereby enhancing the understanding of policy implementation dynamics in health-care settings.
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This survey explores the application of real options theory to the field of health economics. The integration of options theory offers a valuable framework to address these…
Abstract
Purpose
This survey explores the application of real options theory to the field of health economics. The integration of options theory offers a valuable framework to address these challenges, providing insights into healthcare investments, policy analysis and patient care pathways.
Design/methodology/approach
This research employs the real options theory, a financial concept, to delve into health economics challenges. Through a systematic approach, three distinct models rooted in this theory are crafted and analyzed. Firstly, the study examines the value of investing in emerging health technology, factoring in future advantages, associated costs and unpredictability. The second model is patient-centric, evaluating the choice between immediate treatment switch and waiting for more clarity, while also weighing the associated risks. Lastly, the research assesses pandemic-related government policies, emphasizing the importance of delaying decisions in the face of uncertainties, thereby promoting data-driven policymaking.
Findings
Three different real options models are presented in this study to illustrate their applicability and value in aiding decision-makers. (1) The first evaluates investments in new technology, analyzing future benefits, discount rates and benefit volatility to determine investment value. (2) In the second model, a patient has the option of switching treatments now or waiting for more information before optimally switching treatments. However, waiting has its risks, such as disease progression. By modeling the potential benefits and risks of both options, and factoring in the time value, this model aids doctors and patients in making informed decisions based on a quantified assessment of potential outcomes. (3) The third model concerns pandemic policy: governments can end or prolong lockdowns. While awaiting more data on the virus might lead to economic and societal strain, the model emphasizes the economic value of deferring decisions under uncertainty.
Practical implications
This research provides a quantified perspective on various decisions in healthcare, from investments in new technology to treatment choices for patients to government decisions regarding pandemics. By applying real options theory, stakeholders can make more evidence-driven decisions.
Social implications
Decisions about patient care pathways and pandemic policies have direct societal implications. For instance, choices regarding the prolongation or ending of lockdowns can lead to economic and societal strain.
Originality/value
The originality of this study lies in its application of real options theory, a concept from finance, to the realm of health economics, offering novel insights and analytical tools for decision-makers in the healthcare sector.
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Elham Rostami and Fredrik Karlsson
This paper aims to investigate how congruent keywords are used in information security policies (ISPs) to pinpoint and guide clear actionable advice and suggest a metric for…
Abstract
Purpose
This paper aims to investigate how congruent keywords are used in information security policies (ISPs) to pinpoint and guide clear actionable advice and suggest a metric for measuring the quality of keyword use in ISPs.
Design/methodology/approach
A qualitative content analysis of 15 ISPs from public agencies in Sweden was conducted with the aid of Orange Data Mining Software. The authors extracted 890 sentences from these ISPs that included one or more of the analyzed keywords. These sentences were analyzed using the new metric – keyword loss of specificity – to assess to what extent the selected keywords were used for pinpointing and guiding actionable advice. Thus, the authors classified the extracted sentences as either actionable advice or other information, depending on the type of information conveyed.
Findings
The results show a significant keyword loss of specificity in relation to pieces of actionable advice in ISPs provided by Swedish public agencies. About two-thirds of the sentences in which the analyzed keywords were used focused on information other than actionable advice. Such dual use of keywords reduces the possibility of pinpointing and communicating clear, actionable advice.
Research limitations/implications
The suggested metric provides a means to assess the quality of how keywords are used in ISPs for different purposes. The results show that more research is needed on how keywords are used in ISPs.
Practical implications
The authors recommended that ISP designers exercise caution when using keywords in ISPs and maintain coherency in their use of keywords. ISP designers can use the suggested metrics to assess the quality of actionable advice in their ISPs.
Originality/value
The keyword loss of specificity metric adds to the few quantitative metrics available to assess ISP quality. To the best of the authors’ knowledge, applying this metric is a first attempt to measure the quality of actionable advice in ISPs.
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Anna Smith, Jennifer Higgs, José Ramón Lizárraga and Vaughn W.M. Watson
Stephanie Q. Liu, Khadija Ali Vakeel, Nicholas. A. Smith, Roya Sadat Alavipour, Chunhao(Victor) Wei and Jochen Wirtz
An AI concierge is a technologically advanced, intelligent and personalized assistant that is designated to an individual customer, proactively taking care of that customer’s…
Abstract
Purpose
An AI concierge is a technologically advanced, intelligent and personalized assistant that is designated to an individual customer, proactively taking care of that customer’s needs throughout the service journey. This article envisions the idea of AI concierges and discusses how to leverage AI concierges in the customer journey.
Design/methodology/approach
This article takes a conceptual approach and draws insights from literature in service management, marketing, psychology, human-computer interaction and ethics.
Findings
This article delineates the fundamental forms of AI concierges: dialog interface (no embodiment), virtual avatar (embodiment in the virtual world), holographic projection (projection in the physical world) and tangible service robot (embodiment in the physical world). Key attributes of AI concierges are the ability to exhibit semantic understanding of auditory and visual inputs, maintain an emotional connection with the customer, demonstrate proactivity in refining the customer’s experience and ensure omnipresence through continuous availability in various forms to attend to service throughout the customer journey. Furthermore, the article explores the multifaceted roles that AI concierges can play across the pre-encounter, encounter and post-encounter stages of the customer journey and explores the opportunities and challenges associated with AI concierges.
Practical implications
This paper provides insights for professionals in hospitality, retail, travel, and healthcare on leveraging AI concierges to enhance the customer experience. By broadening AI concierge services, organizations can deliver personalized assistance and refined services across the entire customer journey.
Originality/value
This article is the first to introduce the concept of the AI concierge. It offers a novel perspective by defining AI concierges’ fundamental forms, key attributes and exploring their diverse roles in the customer journey. Additionally, it lays out a research agenda aimed at further advancing this domain.
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Edicleia Oliveira, Serge Basini and Thomas M. Cooney
This article aims to explore the potential of feminist phenomenology as a conceptual framework for advancing women’s entrepreneurship research and the suitability of…
Abstract
Purpose
This article aims to explore the potential of feminist phenomenology as a conceptual framework for advancing women’s entrepreneurship research and the suitability of interpretative phenomenological analysis (IPA) to the proposed framework.
Design/methodology/approach
The article critically examines the current state of women’s entrepreneurship research regarding the institutional context and highlights the benefits of a shift towards feminist phenomenology.
Findings
The prevailing disembodied and gender-neutral portrayal of entrepreneurship has resulted in an equivocal understanding of women’s entrepreneurship and perpetuated a male-biased discourse within research and practice. By adopting a feminist phenomenological approach, this article argues for the importance of considering the ontological dimensions of lived experiences of situatedness, intersubjectivity, intentionality and temporality in analysing women entrepreneurs’ agency within gendered institutional contexts. It also demonstrates that feminist phenomenology could broaden the current scope of IPA regarding the embodied dimension of language.
Research limitations/implications
The adoption of feminist phenomenology and IPA presents new avenues for research that go beyond the traditional cognitive approach in entrepreneurship, contributing to theory and practice. The proposed conceptual framework also has some limitations that provide opportunities for future research, such as a phenomenological intersectional approach and arts-based methods.
Originality/value
The article contributes to a new research agenda in women’s entrepreneurship research by offering a feminist phenomenological framework that focuses on the embodied dimension of entrepreneurship through the integration of IPA and conceptual metaphor theory (CMT).
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Marloes van Engen and Brigitte Kroon
Little research is devoted to how salary allocation processes interfere with gender inequality in talent development in universities. Administrative data from a university…
Abstract
Little research is devoted to how salary allocation processes interfere with gender inequality in talent development in universities. Administrative data from a university indicated a substantial salary gap between men and women academics, which partially could be explained by the unequal distribution of men and women in the academic job levels after acquiring a PhD, from lecturer to full professor, with men being overrepresented in the higher job levels, as well as in the more senior positions within each job level. We demonstrated how a lack of transparency, consistency and accountability can disqualify apparent fair, merit-based salary decisions and result in biased gender differences in job and salary levels. This chapter reflects on how salary decisions matter for the recognition of talent and should be an integral part of talent management.
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