Abstract Digital Disruption (DD) has become a hot topic in recent years, yet detailed research is surprisingly lacking. The literature offers almost no insights into how DD occurs at the industry ...level and what industry factors influence it. This paper advances knowledge of DD by developing and testing a configurational theory. Using a multi‐method research design, we identify two types of DD and four industry factors (downstream DD, digitally enabled structural conflict, transferability of core competitive elements, and industry player size) that contingently lead to the different types of DD. We integrate those findings into a configurational theory that describes causal recipes of how these factors or conditions combine to produce the outcome of transformational DD and destructive DD. The theory offers important implications for researchers and practitioners. The research also contributes methodologically by demonstrating the merits of combining grounded theory with qualitative comparative analysis (QCA) to expand the theory‐building potential of QCA.
Full text
Available for:
BFBNIB, FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SBCE, SBMB, UL, UM, UPUK
Key points
MIS Quarterly's (MISQ's) mission is to help develop, publish, and promote the finest scholarship within the IS academic community, and to do so without discrimination and bias.
To address ...the above, MISQ's Editor‐in‐Chief and DEI Director published a diversity, equity, and inclusion (DEI) position statement with an accompanying MISQ Editorial in 2021.
MISQ decided to direct its DEI efforts equally towards ‘scholars’ (e.g., authors, reviewers) and the ‘scholarship’ (e.g., topics we study and approaches we take).
Formation of a DEI workgroup was an early effort aimed at ensuring that the DEI‐related practices are developed and implemented through a collective voice.
A year‐long mentoring programme including paper and career development sessions was designed to help scholars who had been inequitably affected by the pandemic.
Initiatives such as flexible accommodation for board members and mentorship track for authors from disadvantaged groups/regions are being designed.
Full text
Available for:
BFBNIB, FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SBCE, SBMB, UL, UM, UPUK
Eating out is now common and food served out of the home is often of low nutritional quality. Kilocalorie (kcal) labelling of food and drink products sold in restaurant chains in the US is now ...mandatory, although in store kcal labelling practices among major UK restaurant and takeaway chains have not been examined.
During August 2018, we contacted, visited the website and/or retail outlets of major eating out and takeaway food chains in the UK, including full-service and fast-food restaurants, cafes and coffee shops, some of which had previously made a voluntary pledge to provide kcal labelling. We examined the proportion of chains providing kcal information to customers at point of choice in store and the extent to which kcal information provision adhered to labelling recommendations. We also examined the proportion of chains that did not have point of choice kcal labelling but were able to provide kcal information on request. The study protocol was pre-registered on the Open Science Framework.
Of the 104 eligible chains, only a small minority (18 chains, 17%) provided in store kcal labelling. Of those that did, provision of kcal information tended not to adhere to recommended labelling practices. Of the 16 eligible chains that had previously committed to a voluntary public health pledge to provide point of choice kcal labelling, labelling did not meet recommendations and 4 (25%) did not provide kcal labelling. Of the 86 chains that did not provide kcal labelling in store, kcal information was available on request from 43 (50%) chains.
It is rare for eating out and takeaway chains in the UK to provide point of choice kcal labelling and when labelling is provided it does not adhere to recommended labelling practices. Chains that previously volunteered to provide kcal labelling as part of an industry and public health partnership do so inadequately. Voluntary policies have not resulted in adequate kcal labelling in the UK eating out of home sector.
Full text
Available for:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Information systems must be used effectively to obtain maximum benefits from them. However, despite a great deal of research on when and why systems are used, very little research has examined what ...effective system use involves and what drives it. To move from use to effective use requires understanding an information system's nature and purpose, which in turn requires a theory of information systems. We draw on representation theory, which states that an information system is made up of several structures that serve to represent some part of the world that a user and other stakeholders must understand. From this theory, we derive a high-level framework of how effective use and performance evolve, as well as specific models of the nature and drivers of effective use. The models are designed to explain the effective use of any information system and offer unique insights that would not be offered by traditional views, which tend to consider information systems to be just another tool. We explain how our theory extends existing research, provides a rich platform for research on effective use, and how it contributes back to the theory of information systems from which it was derived.
Full text
Available for:
BFBNIB, CEKLJ, IZUM, KILJ, NMLJ, NUK, PILJ, PNG, SAZU, UL, UM, UPUK
We contribute to the shifting discourse in the literature on information system use, towards context-specific (rather than general) theories and effective use (rather than just use). Organizations ...are under great pressure to use information systems effectively but they have few theories to turn to for insights. Motivated by this need, we propose an approach for developing context-specific theories of effective use. The approach suggests that effective use can be theorized by: (1) understanding how a network of affordances supports the achievement of organizational goals, (2) understanding how the affordances are actualized, and (3) using inductive theorizing to elaborate these principles in a given context. We demonstrate the approach in the context of a Canadian health authority’s use of a community-care electronic healthcare record (EHR). We discovered that effective use in this context can be viewed at a high level as the accuracy and consistency with which users work with the EHR, and how they engage in reflection-in-action across a network of nine affordances. The key, however, is understanding how those elements interact with the multiple levels of data needed to achieve the organization’s various goals. Overall, we contribute by offering an approach for developing context-specific theories of effective use, demonstrating its usefulness in an important context, and discovering the importance of understanding in a new way the multilevel nature of information systems.
The online appendix is available at
https://doi.org/10.1287/isre.2017.0702
.
Full text
Available for:
BFBNIB, CEKLJ, IZUM, KILJ, NMLJ, NUK, PILJ, PNG, SAZU, UL, UM, UPUK
Global action to reduce obesity prevalence requires digital transformation of the public health sector to enable precision public health (PPH). Useable data for PPH of obesity is yet to be ...identified, collated and appraised and there is currently no accepted approach to creating this single source of truth. This scoping review aims to address this globally generic problem by using the State of Queensland (Australia) (population > 5 million) as a use case to determine (1) availability of primary data sources usable for PPH for obesity (2) quality of identified sources (3) general implications for public health policymakers.
The Preferred Reporting Items for Systematic Review and Meta-Analyses extension for scoping reviews (PRISMA-ScR) was followed. Unique search strategies were implemented for 'designed' (e.g. surveys) and 'organic' (e.g. electronic health records) data sources. Only primary sources of data (with stratification to Queensland) with evidence-based determinants of obesity were included. Primary data source type, availability, sample size, frequency of collection and coverage of determinants of obesity were extracted and curated into an evidence map. Data source quality was qualitatively assessed.
We identified 38 primary sources of preventive data for obesity: 33 designed and 5 organic. Most designed sources were survey (n 20) or administrative (n 10) sources and publicly available but generally were not contemporaneous (> 2 years old) and had small sample sizes (10-100 k) relative to organic sources (> 1 M). Organic sources were identified as the electronic medical record (ieMR), wearables, environmental (Google Maps, Crime Map) and billing/claims. Data on social, biomedical and behavioural determinants of obesity typically co-occurred across sources. Environmental and commercial data was sparse and interpreted as low quality. One organic source (ieMR) was highly contemporaneous (routinely updated), had a large sample size (5 M) and represented all determinants of obesity but is not currently used for public health decision-making in Queensland.
This review provides a (1) comprehensive data map for PPH for obesity in Queensland and (2) globally translatable framework to identify, collate and appraise primary data sources to advance PPH for obesity and other noncommunicable diseases. Significant challenges must be addressed to achieve PPH, including: using designed and organic data harmoniously, digital infrastructure for high-quality organic data, and the ethical and social implications of using consumer-centred health data to improve public health.
Full text
Available for:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Healthcare professionals work in high-pressured and demanding environments, which has been linked to the use of alcohol as a coping strategy. This international review aimed (i) to determine the ...pooled prevalence of hazardous, harmful, dependent, and frequent binge drinking in healthcare professionals, and (ii) to explore factors associated with variation in these outcomes.
Scopus, MEDLINE, and PsycINFO were searched from 2003 to 17th November 2022, for studies reporting a prevalence estimate for any outcome among healthcare professionals. Random-effects meta-analyses determined pooled prevalence estimates. Sub-group analyses were conducted, stratifying the meta-analyses by pandemic period
pre-pandemic period. Meta-regressions explored factors that were associated with variation in the outcomes. PROSPERO (CRD42020173119).
After screening 9,108 records, 64 studies were identified as eligible. The pooled prevalence was 19.98% 95% Confidence Intervals CI: 16.05-24.23% for hazardous alcohol use (
= 52), 3.17% 95% CI: 0.95-6.58% for harmful drinking (
= 8), 14.59% 95% CI: 7.16-25.05% for dependent drinking (
= 7), and 17.71% 95% CI: 8.34-29.63% for frequent binge drinking (
= 11). The prevalence of hazardous drinking was greater during the pandemic (28.19%) compared with pre-pandemic estimates (17.95%), though this was not statistically significant (
= 0.049). Studies including all hospital staff (32.04%) showed higher prevalence estimates for hazardous drinking compared with studies of doctors (16.78%) and nurses (27.02%).
Approximately one fifth of healthcare professionals drink to hazardous levels, with higher prevalence estimates observed during the COVID-19 pandemic. It may be that healthcare professionals used alcohol to cope with the additional trauma and stressors. Further research is needed to investigate whether this is sustained in the post-pandemic period.
The digital transformation of health care is advancing rapidly. A well-accepted framework for health care improvement is the Quadruple Aim: improved clinician experience, improved patient experience, ...improved population health, and reduced health care costs. Hospitals are attempting to improve care by using digital technologies, but the effectiveness of these technologies is often only measured against cost and quality indicators, and less is known about the clinician and patient experience.
This study aims to conduct a systematic review and qualitative evidence synthesis to assess the clinician and patient experience of digital hospitals.
The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) and ENTREQ (Enhancing the Transparency in Reporting the Synthesis of Qualitative Research) guidelines were followed. The PubMed, Embase, Scopus, CINAHL, and PsycINFO databases were searched from January 2010 to June 2022. Studies that explored multidisciplinary clinician or adult inpatient experiences of digital hospitals (with a full electronic medical record) were included. Study quality was assessed using the Mixed Methods Appraisal Tool. Data synthesis was performed narratively for quantitative studies. Qualitative evidence synthesis was performed via (1) automated machine learning text analytics using Leximancer (Leximancer Pty Ltd) and (2) researcher-led inductive synthesis to generate themes.
A total of 61 studies (n=39, 64% quantitative; n=15, 25% qualitative; and n=7, 11% mixed methods) were included. Most studies (55/61, 90%) investigated clinician experiences, whereas few (10/61, 16%) investigated patient experiences. The study populations ranged from 8 to 3610 clinicians, 11 to 34,425 patients, and 5 to 2836 hospitals. Quantitative outcomes indicated that clinicians had a positive overall satisfaction (17/24, 71% of the studies) with digital hospitals, and most studies (11/19, 58%) reported a positive sentiment toward usability. Data accessibility was reported positively, whereas adaptation, clinician-patient interaction, and workload burnout were reported negatively. The effects of digital hospitals on patient safety and clinicians' ability to deliver patient care were mixed. The qualitative evidence synthesis of clinician experience studies (18/61, 30%) generated 7 themes: inefficient digital documentation, inconsistent data quality, disruptions to conventional health care relationships, acceptance, safety versus risk, reliance on hybrid (digital and paper) workflows, and patient data privacy. There was weak evidence of a positive association between digital hospitals and patient satisfaction scores.
Clinicians' experience of digital hospitals appears positive according to high-level indicators (eg, overall satisfaction and data accessibility), but the qualitative evidence synthesis revealed substantive tensions. There is insufficient evidence to draw a definitive conclusion on the patient experience within digital hospitals, but indications appear positive or agnostic. Future research must prioritize equitable investigation and definition of the digital clinician and patient experience to achieve the Quadruple Aim of health care.
Full text
Available for:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, UILJ, UKNU, UL, UM, UPUK
Unwell patients in the ED requiring inpatient admission must negotiate the interface between the ED and inpatient wards. Despite its importance and scale, this ED–inpatient interface (EDii) is poorly ...characterised. The aim of this paper is to clearly define the EDii and to describe its importance to (i) the patient: delays to admission and errors in communication across the EDii can increase adverse outcomes; (ii) the hospital: poor EDii function reduces hospital efficiency and effectiveness; and (iii) the healthcare system: half of all hospital inpatient admissions occur via the EDii and so EDii affects system‐wide performance. The EDii can be defined as the dynamic, transitional phase of patient care in which responsibility for, and delivery of care, is shared between ED and inpatient hospital services. The EDii is characterised by a complex interplay of patient, hospital and system factors. A clear definition of the EDii and an understanding of its importance will assist future research and interventions to improve patient outcomes.
Full text
Available for:
FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SBCE, SBMB, UL, UM, UPUK
Researchers have long known that research methods influence construct measurements and that this influence, or method bias, can lead to false conclusions. Despite much work in the methodological ...literature on specific aspects of method bias, such as common method bias and self-report bias, the meaning of method bias remains unclear, and there is no comprehensive approach for dealing with it. This paper offers a clear definition of method bias, proposes a more comprehensive approach for dealing with it, and describes a demonstration exercise applying the approach in an empirical study of how individual system use and task performance relate. The demonstration suggests that the approach is feasible and illustrates how it can help researchers test theories and identify new research opportunities.
Full text
Available for:
BFBNIB, CEKLJ, IZUM, KILJ, NMLJ, NUK, PILJ, PNG, SAZU, UL, UM, UPUK
PDF
