bluuebunny/crossref_metadata_2025_split huggingface dataset:
Foresight and strategic decision-making framework from artificial intelligence technology development to utilization activities in small-and-medium-sized enterprises
Authors: Kim Jong-Seok , Seo Dongsu 
Published: March 2023

Purpose
This study aims to predict artificial intelligence (AI) technology development and the impact of AI utilization activity on companies, to identify AI strategies dealing with the broad innovation activity of AI, and to construct the strategic decision-making framework of AI strategies for a small- and medium-sized enterprise (hereafter SME), to improve strategic decision-making practices of AI strategy in SMEs.

Design/methodology/approach
This study used the multiple methods on the design of two data collection stages. The first stage is an expertise-based approach. It organized the three groups of expert panels and conducted the Delphi survey on them in combination with the brainstorming of technology, innovation and strategy in the fourth industrial revolution. The second stage is in the complement approach of expertise-based results. It used the literature review to involve the analysis of academic and practical papers, reports and audio materials relating to technology development, innovation types and strategies of AI. Additionally, it organized the four semi-structured interviews. Finally, this study used the mind-map and decision tree to conduct each analysis and synthesize each analytical result.

Findings
This study identifies the precondition and four paths of AI technological development classifying into specialized AI, AI convergence with other technologies, general AI and AI control methods. It captures the impact of non- and technological innovation through AI on companies. Second, it identifies and classifies the six types of AI strategy: the bystander, capability-building, capability-holding, management-enhancing, market-enhancing and new-market-creating strategy. By using the decision tree, it constructs the strategic decision-making framework containing six AI strategies. Actionable points, strategic priorities and relevant instruments are suggested.

Research limitations/implications
The strategic decision-making framework covering from AI technology development to utilization in a SME can help understand the strategic behaviours in SMEs. The typology of six AI strategies implies the broad innovation behaviours in SMEs. It can lead to further research to understand the pattern of strategic and innovation behaviour on AI.

Practical implications
This practical study can help executives, managers and engineers in SMEs to develop their strategic practices through the strategic decision framework and six AI strategies.

Originality/value
This practical study elicits the six types of AI strategy and constructs the strategic decision-making framework of six AI strategies from AI technology development to utilization. It can contribute to improving the practices of strategic decision-making in SMEs.
Vietnamese enterprises’ considerations of big data and analytics implementation post-COVID-19 pandemic
Authors: Tran Hung Ngoc 
Published: March 2023

Purpose
Recently, Vietnamese enterprises have begun to realize the potential benefits of big data and harnessing all of the data they have been creating. Experiencing the crisis time of the COVID-19 pandemic, they could apprehend more and more benefits of digitalizing trend. However, a big problem for many Vietnamese enterprises is understanding where to begin in implementing big data and analytics. The study’s main objective is to investigate the impact factors of implementing big data and analytics in Vietnamese enterprises post-COVID-19 pandemic.

Design/methodology/approach
The study is exploratively conducted with a quantitative survey approach and uses purposive techniques in collecting data. The sample focuses on Vietnamese enterprises which have experience with big data and analytics.

Findings
This study intended to highlight some aspects to consider when implementing big data and analytics in Vietnamese enterprises post-COVID-19 pandemic.

Originality/value
To the best of the author’s knowledge, this study is the first academic paper to study Vietnamese enterprises’ considerations of big data and analytics post-COVID-19 pandemic.
Which sway? Athlete activism, teammate allyship and fan patriotism
Authors: Smith Brent , Tryce Stephanie A. , Ferrara Carol 
Published: March 2023

PurposeTo measure the relationships between varieties of patriotism and fan reactions to anthem-linked athlete activism and to test the effects of teammate allyship.Design/methodology/approachIn this study of US sport fans (n = 519), the authors examine whether two varieties of patriotism—the affective “symbolic patriotism” and the cognitive “uncritical patriotism”—might explain fans' reactions (support v. opposition) to anthem-linked athlete activism. The authors also consider whether fans' acceptance of nonactivist teammate allyship moderates patriotism influences on those reactions.FindingsUsing partial least squares structural equation modelling (PLS-SEM), the authors posit and show that fans' reactions to athlete activism are driven more strongly by uncritical patriotism than by symbolic patriotism. The authors also show that fans' acceptance of nonactivist teammate allyship significantly moderate the strength and direction of fans' reactions to athlete activism.Research limitations/implicationsThe authors contribute substantive, new knowledge into the sways of athlete activism, teammate allyship and fan patriotism within the sport world. By way of novel heterotrait-monotrait ratio of correlations, the authors show evidence of discriminant validities of symbolic patriotism and uncritical patriotism. Using PLS-SEM moderation tests, the authors also show that fans' acceptance of teammate allyship moderates the influences of these patriotism types differently.Originality/valueFew empirical studies to date have investigated sport fans' reactions to athletes' displays of social activism (e.g. taking a knee to protest racism).
Drivers of innovation in the agro-food micro, small and medium enterprises of Uganda
Authors: Ajer Basil , Ngare Lucy , Macharia Ibrahim 
Published: March 2023

PurposeWith focus on Uganda, this study assessed the factors influencing agro-food micro, small and medium enterprises (MSME) innovations. Kampala, Wakiso, Mukono and Jinja districts were the locations of the research.Design/methodology/approachPrimary cross-sectional data was collected using structured questionnaire for a sample of 521 agro-food MSMEs in Uganda. Descriptive statistics, exploratory factor analysis and hierarchical regression analysis were used to examine the data in SPSS.FindingsThe findings indicate that MSME innovation levels were usually high, at roughly 80%. The presence of rules that encourage innovation and reward creative people would enhance innovation that is customer-focused. On the other hand, policies and principles that encourage innovation and the conduct of internal product and process improvement research would promote system-focused innovation.Research limitations/implicationsEncouraging agro-food MSMEs to develop policies that support innovation would improve the overall level of innovation, while building the capacity of agro-food MSMEs to conduct product and process improvement research would increase the level of systems-focused research.Originality/valueThis study assessed the drivers of innovation in agri-food MSMEs in a developing country. The uniqueness of this study is in assessing the effects of innovation support services on customer-focused and systems-focused innovations.
Performance management systems, innovative work behavior and the role of transformational leadership: an experimental approach
Authors: Bauwens Robin , Audenaert Mieke , Decramer Adelien 
Published: March 2023

PurposeDespite increasing attention to employee development, past research has mostly studied performance management systems (PMSs) in relation to task-related behaviors compared to proactive behaviors. Accordingly, this study addresses the relation between PMSs and innovative work behavior (IWB).Design/methodology/approachBuilding on signaling theory and human resource management (HRM) system strength research, the authors designed a factorial survey experiment (n = 444) to examine whether PMSs stimulate IWB under different configurations of distinctiveness, consistency and consensus, as well as in the presence of transformational leadership.FindingsResults show that only strong PMSs foster IWB (high distinctiveness, high consistency and high consensus [HHH]). Additional analyses reveal that the individual meta-features of PMS consistency and consensus can also stimulate innovation. Transformational leadership reinforced the relationship between PMS consensus and IWB relationship, but not the relationships of the other meta-features.Practical implicationsThe study’s findings suggest that organizations wishing to unlock employees' innovative potential should design PMSs that are visible, comprehensible and relevant. To further reap the innovative gains of employees, organizations could also invest in the coherent and fair application of planning, feedback and evaluation throughout the organization and ensure organizational stakeholders agree on the approach to PMSs.Originality/valueThe study’s findings show that PMS can also inspire proactivity in employees, in the form of IWB and suggest that particular leadership behaviors can complement certain PMS meta-features, and simultaneously also compete with PMS strength, suggesting the whole (i.e. PMS strength) is more than the sum of the parts (i.e. PMS meta-features).
Real Estate Insights The continuing uncertainty of property investment markets – an outlook for the UK in 2023
Authors: Frodsham Malcolm 
Published: March 2023

PurposeThe aim of this Real Estate Insight is to comment upon the outlook for real estate investment in the United Kingdom (UK) at the beginning of 2023 in light of global inflation brought about by the pent-up post-pandemic demand push for goods and services and the exacerbation of the Ukraine/Russia conflict.Design/methodology/approachThis Real Estate Insight will comment upon changes in the investor's view of the UK economy and the relative attractiveness of the different property sectors and the shift in thinking post-pandemic.FindingsThis paper will consider a number of scenarios and possibilities flowing from the current uncertainties in the property market and the wider economy.Practical implicationsAs with all property investment, the value and performance of the property assets is interlinked with the use and demand of different property types. Understanding the supply and demand drivers provides investors with a reasoned conjecture of how the property market may perform going forward.Originality/valueThis is a review of the UK market in relation to post-COVID-19 changes to supply and demand at both an operational and investment level.
Channel integration in grocery retailers via mobile applications
Authors: Yen Yung-Shen 
Published: March 2023

PurposeThis study aims to explore the impact of channel integration on usage intention through mobile applications (apps) for customers in grocery retailers. Moreover, the study examines the moderating effect of customer commitment in the model.Design/methodology/approachStructural equation modeling was conducted on a sample of 536 consumers in Taiwan.FindingsThis study found that information integration, marketing integration and operational integration are three significant dimensions of channel integration in grocery retailers. Channel integration positively affects satisfaction and trust, which, in turn, increases usage intention. Moreover, customer commitment significantly moderates the relationships in the model.Research limitations/implicationsSample bias may exist because the sample was obtained from an online survey conducted on social media platforms.Practical implicationsThis study suggested that practitioners should confidently implement channel integration through mobile apps in stores. They may develop more valuable services connected with different channels or devices to assist customers in buying in-store. To improve customer trust in the service, practitioners can enhance their confidence in using mobile apps in their stores. Moreover, practitioners segment customers based on high and low levels of customer commitment to provide different strategies to increase usage intention in the retailer.Originality/valueThis study advanced the extant knowledge of channel integration theory and relationship marketing theory in the context of omnichannel retailing.
Consequences of the Russia-Ukraine war: evidence from DAX, ATX, and FTSEMIB
Authors: Aliu Florin , Mulaj Isa , Hašková Simona 
Published: March 2023

Purpose
The Russian invasion of Ukraine generated unprecedented panic in the European financial system. As expected, the European Union (EU) felt most of the negative effects of the war due to geographical proximity to Ukraine and energy dependence on Russia. This study aims to investigate the influence of Brent crude oil (BCO), Dutch Title Transfer Facility Natural Gas, and CBOE Volatility Index (VIX) on Deutscher Aktien Index (DAX), Austrian Traded Index (ATX) and Milano Indice di Borsa (FTSEMIB). The German, Austrian and Italian equity indexes were chosen due to the heavy dependence of these countries on Russian gas and oil.

Design/methodology/approach
The data cover the period from November 24, 2021, to June 24, 2022, including five months of the Russia–Ukraine war. To generate the intended results, vector autoregressive, structural vector autoregressive, vector error correction model, Johansen test and Granger causality test were used.

Findings
The results highlight that natural gas and the VIX carried negative effects on DAX, ATX and FTSEMIB. The BCO was expected to have influenced three selected equity indexes, while the results suggest that it was priced only in ATX.

Originality/value
This research provides modest evidence for the policymakers on the systemic risk that Russian gas has for the EU equity markets. From a managerial perspective, changes in oil and gas prices are a permanently integral part of portfolio risk analysis.
Seasonality of biogeochemically relevant microbial genes in a coastal ocean microbiome
Authors: Auladell Adrià , Ferrera Isabel , Montiel Fontanet Lidia , Santos Júnior Célio Dias , Sebastián Marta , Logares Ramiro , Gasol Josep M. 
Published: March 2023

AbstractMicrobes drive the biogeochemical cycles of marine ecosystems through their vast metabolic diversity. While we have a fairly good understanding of the spatial distribution of these metabolic processes in various ecosystems, less is known about their seasonal dynamics. We investigated the annual patterns of 21 biogeochemical relevant functions in an oligotrophic coastal ocean site by analysing the presence of key genes, analysing high‐rank gene taxonomy and the dynamics of nucleotide variants. Most genes presented seasonality: photoheterotrophic processes were enriched during spring, phosphorous‐related genes were dominant during summer, coinciding with potential phosphate limitation, and assimilatory nitrate reductases appeared mostly during summer and autumn, correlating negatively with nitrate availability. Additionally, we identified the main taxa driving each function at each season and described the role of underrecognized taxa such as Litoricolaceae in carbon fixation (rbcL), urea degradation (ureC), and CO oxidation (coxL). Finally, the seasonality of single variants of some families presented a decoupling between the taxonomic abundance patterns and the functional gene patterns, implying functional specialization of the different genera. Our study unveils the seasonality of key biogeochemical functions and the main taxonomic groups that harbour these relevant functions in a coastal ocean ecosystem.
Short interest and the stock market relation with news sentiment from traditional and social media sources
Authors: Chamberlain Ben , Liu Zhangxin (Frank) , Smales Lee A. 
Published: March 2023

AbstractWe examine how the stock market relation to news sentiment—from traditional and social media (Twitter) sources—interacts with short selling of stocks. Our sample includes the S&P500 constituents for the period January 2016 to December 2020, providing 704,452 firm‐day observations. We find evidence that both news sources are positively related to returns. The relationship is stronger for firms with a high short interest ratio, for small firms, and particularly for firms that are both small and highly shorted. This is consistent with short sellers targeting firms that are most responsive to (negative) news releases and so more likely to compensate for the additional costs encountered in shorting.
Addictions treatment mechanisms of change science and implementation science: A critical review
Authors: Magill Molly , Maisto Stephan , Borsari Brian , Glass Joseph E. , Hallgren Kevin , Houck Jon , Kiluk Brian , Kuerbis Alexis 
Published: March 2023

AbstractThis manuscript aims to contribute to the next phase of mechanisms of behavior change (MOBC) science on alcohol or other drug use. Specifically, we encourage the transition from a basic science orientation (i.e., knowledge generation) to a translational science orientation (i.e., knowledge application or Translational MOBC Science). To inform that transition, we examine MOBC science and implementation science and consider how these two research areas can intersect to capitalize on the goals, strengths, and key methodologies of each. First, we define MOBC science and implementation science and offer a brief historical rationale for these two areas of clinical research. Second, we summarize similarities in rationale and discuss two scenarios where one draws from the other—MOBC science on implementation strategy outcomes and implementation science on MOBC. We then focus on the latter scenario, and briefly review the MOBC knowledge base to consider its readiness for knowledge translation. Finally, we provide a series of research recommendations to facilitate the translation of MOBC science. These recommendations include: (1) identifying and targeting MOBC that are well suited for implementation, (2) use of MOBC research results to inform broader health behavior change theory, and (3) triangulation of a more diverse set of research methodologies to build a translational MOBC knowledge base. Ultimately, it is important for gains borne from MOBC science to affect direct patient care, while basic MOBC research continues to be developed and refined over time. Potential implications of these developments include greater clinical significance for MOBC science, an efficient feedback loop between clinical research methodologies, a multi‐level approach to understanding behavioral change, and reduced or eliminated siloes between MOBC science and implementation science.
Obstetric complications and genetic risk for schizophrenia: Differential role of antenatal and perinatal events in first episode psychosis
Authors: Valli Isabel , Gonzalez Segura Alex , Verdolini Norma , Garcia‐Rizo Clemente , Berge Daniel , Baeza Inmaculada , Cuesta Manuel J. , Gonzalez‐Pinto Ana , Lobo Antonio , Martinez‐Aran Anabel , Mezquida Gisela , Pina‐Camacho Laura , Roldan Bejarano Alexandra , Mas Sergi , McGuire Philip , Bernardo Miquel , Vieta Eduard ,   PEPs group
Published: March 2023

AbstractBackgroundObstetric complications (OCs) are key contributors to psychosis risk. However, it is unclear whether they increase psychosis vulnerability independently of genetic risk, in interaction with it, or are a manifestation of psychosis proneness. We examined the role of distinct types of OCs in terms of psychosis risk and tested whether they interact differently with genetic vulnerability, whilst accounting for other known environmental risk factors.Study Design405 participants (219 first episode psychosis patients and 186 healthy volunteers) underwent a comprehensive assessment of OCs, measured using the Lewis‐Murray scale and divided into complications of pregnancy, abnormalities of foetal growth and development, and complications of delivery. Participants were compared in terms of history of OCs, polygenic risk score for schizophrenia (PRS‐SZ) and interactions between these.ResultsBoth complications of pregnancy and abnormalities of foetal growth were significantly associated with case–control status (p = 0.02 and 0.03, respectively), whereas complications of delivery were not. PRS‐SZ showed a significant association with psychosis (p = 0.04), but there were no significant interactions between genetic risk for schizophrenia and OCs, either when these were considered globally or separated based on their timeframe.ConclusionsWe observed no significant interaction between genetic and obstetric vulnerability, yet distinct types of OCs may have a different impact on psychosis risk, based on their nature and timeframe. Examining their differential role might clarify their relative contributions to this risk.
A longitudinal analysis of Australian women's fruit and vegetable consumption and depressive symptoms
Authors: Lee Megan , Bradbury Joanne , Yoxall Jacqui , Sargeant Sally 
Published: March 2023

AbstractBackgroundIn Australia, women report higher rates of depressive symptoms than men. Research suggests that dietary patterns rich in fresh fruit and vegetables could protect against depressive symptoms. The Australian Dietary Guidelines suggest that consuming two servings of fruit and five serves of vegetables per day is optimal for overall health. However, this consumption level is often difficult for those experiencing depressive symptoms to achieve.AimsThis study aims to compare diet quality and depressive symptoms in Australian women over time using (I) two serves of fruit and five serves of vegetables per day (FV7), and (ii) two serves of fruit and three serves of vegetables per day (FV5).Materials and MethodsA secondary analysis was conducted using data from the Australian Longitudinal Study on Women's Health over 12 years at three time points 2006 (n = 9145, Mean age = 30.6, SD = 1.5), 2015 (n = 7186, Mean age = 39.7, SD = 1.5), and 2018 (n = 7121, Mean age = 42.4, SD = 1.5).ResultsA linear mixed effects model found, after adjusting for covarying factors, a small significant inverse association between both FV7 (b = −.54, 95% CI = −.78, −.29) and FV5 (b = −.38, 95% CI = −.50, −.26) in depressive symptoms.DiscussionThese findings suggest an association between fruit and vegetable consumption and decreased depressive symptoms. The small effect sizes indicate caution should be taken in interpreting these results. The findings also suggest that current Australian Dietary Guideline recommendations need not be prescriptive to two fruit and five vegetables for impact on depressive symptoms.ConclusionsFuture research could evaluate reduced vegetable consumption (three serves per day) in identifying the protective threshold for depressive symptoms.