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Given the sudden increase in plant investments across the manufacturing sector due to recent disruptions in the global supply chain caused by the COVID pandemic, the Ukraine/Russian war, ocean piracy incidents, and others, there is a need to strategically align the investments decisions with the overall business strategy. This study aims to establish whether strategic alignment enhances the effect of plant investments on operational performance.

Using the fifth version of the Global Manufacturing Research Group (GMRG V) dataset, we employ a structural equation model (SEM) to establish the moderating role of strategic alignment in plant investments-operational performance relationships.

The results suggest that strategic alignment enhances the positive effect of plant investments on operational performance, especially in cost, delivery, flexibility, and innovation. However, we found partial support for the moderating role of strategic alignment on quality performance.

Although the study was based on the GMRG global dataset and numerous papers have been published using the same dataset, the use of a convenience sample on a select group of companies may limit the generalizability of the results. With the increase in new plant investments in computer chip manufacturing, electronics, and electrical in recent years, the findings could help corporate executives maximize the benefits of their investment decisions. Companies should ensure that their plant investment decisions are strategically aligned with their overall business strategy to achieve optimal outcomes.

With the increase in new plant investments in computer chip manufacturing, electronics, and electrical in recent years, the findings could help corporate executives maximize the benefits of their investment decisions. Companies should ensure that their plant investment decisions are strategically aligned with their overall business strategy to achieve optimal outcomes.

The study comprehensively demonstrates that the extent of improvement in operational performance depends on how closely plant investment decisions align with the overall company strategy. Manufacturers should align major investment decisions with competitive priorities driven by market requirements to enhance operational performance.

Due to white rice’s association with diabetes and other chronic diseases in many Asian countries, many industries are working to develop high-fiber rice substitutes with similar organoleptic characteristics. Konjac rice (KR) is a promising option, but maintaining its optimal fiber content for health benefits while preserving its ideal sensory profile remains a challenge. This study aims to investigate whether a KR formula, combining tapioca flour and glucomannan gel, possesses similar organoleptic attributes to white rice while preventing glycemic response elevation.

In a six-week randomized single-blind clinical trial, 13 normoweight nondiabetic subjects received varying konjac-based rice and white rice ratios. Blood glucose levels were measured at intervals, and glycemic response was assessed using incremental area under the curve (iAUC). Visual analog scale gauged satiety, and organoleptic properties were evaluated.

Substituting white rice with pure and partial konjac-based rice significantly lowered postprandial blood sugar levels and glycemic response (p = 0.002). iAUC for pure KR and KR 1:1 was notably lower than white rice (p = 0.002). Subjects reported a sense of fullness comparable to white rice, with no significant organoleptic score differences (p = 0.260).

The study’s generalizability is compromised due to the limited number of participants, impacting external validity. The examined parameters offer a rough understanding of konjac grain’s impact on postprandial glycemic responses but do not elucidate underlying mechanisms or the duration of its inhibitory effect on glucose absorption. Long-term effects on metabolic, hormonal parameters and the colon’s microbial flora composition and function remain unexplored, constraining comprehensive insights into konjac grain’s extended implications.

This study introduces a novel KR formula to address the escalating diabetes risks associated with white rice consumption. Substituting white rice with KR significantly reduces postprandial blood sugar levels, highlighting its potential in preventing type 2 diabetes (T2D). Tapioca flour enhances palatability, making KR a viable option. While promising, long-term effectiveness and safety require further research, emphasizing comprehensive lifestyle interventions. The study contributes valuable insights to innovative dietary strategies for prevalent health conditions, emphasizing the need for ongoing efforts in public health.

White rice, a staple in Asian societies, is linked to a heightened risk of T2D due to increased production and inadequate dietary fiber. This connection contributes to the economic burden on governments through health insurance and lost productivity. Encouraging alternatives rich in fiber can mitigate this burden, offering a socioeconomically beneficial solution to preventable chronic diseases.

This trial demonstrates konjac-based rice’s potential in curbing glycemic responses, hinting at its role in preventing T2D. Glucomannan’s viscosity, satiety induction and potential gut health impact are highlighted. Further research is warranted for long-term effectiveness and safety. These findings contribute to the growing evidence supporting glucomannan as a valuable tool in addressing prevalent health conditions.

Online fundraising has become a rapidly growing alternative business financing method for esports. Despite this, a lack of attention has been given to its fans' motivations for participating in crowdfunding (CF) projects or behavioral intentions for spectatorship. To address this, the present study (1) categorizes esport CF investors' motivations based on the big five personality traits and (2) compares whether motivations and behavioral intentions for esports spectatorships vary depending on each group.

We applied K-means clustering analysis to classify investors. ANOVA was used to verify whether there were differences in CF motivations and behavioral intentions.

The study identified six distinct investor segments. Overall, esports CF investors showed high agreeableness and conscientiousness with low neuroticism. Fanatic fans were the most motivated and had the highest spectatorship intentions, driven by strong openness. In contrast, recognition seekers and charity donors exhibited the lowest viewing intentions. Entertainment seekers were highly motivated by excitement and aesthetics, linking CF participation to a strong desire to watch events. Despite higher neuroticism, reward hunters also showed significant viewing intentions, driven by drama and aesthetics. These findings highlight the diverse motivations and their influence on esports spectatorship.

This study investigates the motivations and behavioral intentions of CF investors and spectatorship, which has substantive theoretical and managerial implications for the business of esports.

Today, the transition of retailers from multi-channel and cross-channel to omni-channel has become a necessity. Customers’ perceived shopping value is also one of the most important factors for retailers’ success. Therefore, the purpose of this paper is to develop and validate the omni-channel shopping value scale.

Based on 40 interviews (X = 18, Y = 22) and a literature review, items were generated for shopping value dimensions (utilitarian, hedonic and social) at four touchpoints. Then exploratory factor analysis was performed for scale purification (n = 562). Confirmatory factor analysis (CFA) was performed (n = 528) for initial scale validation. A second CFA was conducted to validate the final scale (n = 302). To check the nomological validity of the scale, the effect of omni-channel shopping value on customer engagement (n = 455) was investigated in both generations.

According to the results of the qualitative study, 73 items were identified. Based on the results of exploratory and CFA, nine components (50 items) were extracted and confirmed: utilitarian, hedonic and social shopping values for offline touchpoint and utilitarian and hedonic shopping values for online, application and social networks touchpoints. The results of nomological validity of the scale confirmed the effect of omni-channel shopping value on customer engagement in both generations.

To the best of the authors’ knowledge, this study is the first attempt to develop and validate an omni-channel shopping value scale based on customers’ shopping experiences with omni-channel brands. Therefore, this study provides a useful tool for researchers and marketing managers to measure omni-channel shopping value.

This study aims to (1) investigate the influence of firms’ social media utilization on performance through supply chain agility, (2) examine the mediating role of supply chain agility and (3) explore the indirect effect of social media utilization on operational performance via supply chain agility as knowledge transfer increases.

A survey of 298 Chinese manufacturing firms was conducted to assess the proposed relationships, employing moderated mediation analysis with Andrew Hayes (2017) PROCESS macro.

Social media utilization indirectly enhances operational performance through supply chain agility, supporting our mediation hypothesis (H1). Additionally, knowledge transfer moderates the positive impact of social media utilization on supply chain agility (H2). The moderated mediation analysis reveals that the mediating effect of supply chain agility on operational performance is stronger at higher levels of knowledge transfer (H3), shedding light on the intricate relationships between these variables and providing insights for businesses seeking to leverage social media and knowledge transfer to enhance supply chain resilience and operational performance.

This study empirically investigates the role of social media utilization in supply chains within the digital age. We explore how social media enhances supply chain agility and knowledge transfer, highlighting its transformative potential for real-time communication, responsiveness and collaboration across networks. By integrating dynamic capability theory with contemporary digital practices, we demonstrate how leveraging digital platforms alongside traditional supply chain processes can significantly improve manufacturing efficiency. This research bridges existing gaps in the literature and provides valuable insights for businesses navigating complex, rapidly changing environments in the era of digital transformation.

Based on neo-institutional theory, this study evaluates factors that affect instances of data breaches in a hospital. The authors study the effect of adopting the health information exchange (HIE) initiative on a hospital’s data breach threats. This study integrates formal and information institutional factors to identify the antecedents that influence data breaches when adopting HIE. This study uses a hospital’s entrepreneurial orientation (EO) as a formal institutional factor and national culture (collectivism–individualism) as an informal institutional factor.

Using a Statistical Analysis System, the authors analyze US hospital observations over five years. The data was collected from the Health Information and Management Systems Society (HIMSS) database, the Health and Human Services website and the Vandello and Cohen (1999) collectivism index.

This study finds that when hospitals adopt HIEs, data breaches increase. This study also finds that both EO (formal institutional factor) and the individualism–collectivism index (informal institutional factor) significantly moderate these instances.

HIMSS has not updated its data set to reflect recent hospital data, so this study’s data set lacks recent data on US hospitals.

This study is one of the few studies to address the impact of cultural variation in US hospitals and how it interacts with entrepreneurial activity to lower data breach threats when adopting new data exchange standards.

The purpose of this paper is to examine patient engagement in remote consultation services, an increasingly important issue facing Healthcare Operations Management (HOM) given the significant expansion in this and other forms of telehealth worldwide over the last decade. We use our analysis of the literature to develop a comprehensive framework that incorporates the patient journey, multidimensionality, antecedents and consequences, interventions and improvement options, as well as the cyclic nature of patient engagement. We also propose measures suitable for empirical assessment of different aspects of our framework.

We undertook a comprehensive review of the extant literature using a systematic review approach. We identified and analysed 63 articles published in peer-reviewed scientific journals between 2003 and 2022.

We conceptualise patient engagement with remote consultation across three key aspects: dimensions, process, and the antecedents and consequences of engagement. We identify nine contextual categories that influence such engagement. We propose several possible metrics for measuring patient engagement during three stages (before service, at/during service and after service) of remote consultation, as well as interventions and possible options for improving patient engagement therein.

The primary contribution of our research is the development of a comprehensive framework for patient engagement in remote consultation that draws on insights from literature in several disciplines. In addition, we have linked the three dimensions of engagement with the clinical process to create a structure for future engagement assessment. Furthermore, we have identified impact factors and outcomes of engagement in remote consultation by understanding which can help to improve levels of adoption, application and satisfaction, and reduce healthcare inequality. Finally, we have adopted a “cyclic” perspective and identified potential interventions that can be combined to further improve patient engagement in remote consultation.

This article aims to provide the current state of the art of the literature on the contribution of information and communication technologies (ICTs) on the measurement and management of performance in the healthcare sector. In particular, the work aims to identify current and emerging ICTs and how these relate to the performance measurement and management (PMM) cycle of healthcare organizations.

To address the research objective, we adopted a systematic literature review. In particular, we used the preferred reporting items for systematic reviews and meta-analysis (PRISMA) methodology to select articles related to the investigated topic. Based on an initial screening of 560 items retrieved from Scopus and ISI Web of Knowledge, we identified and analyzed 58 articles dealing with ICTs and PMM in the healthcare sector. The last update of the dataset refers to February 2024.

Although we attempted to address a relevant topic for both research and practice, we noticed that a relatively small sample of articles directly addressed it. Through this literature review, in addition to providing descriptive statistics of research on ICTs and PMM in healthcare, we identified six theoretical clusters of scientific streams focusing on the topic and eleven categories of ICTs effectively tackled by the literature. We then provided a holistic framework to link technologies to the different PMM phases and functions.

Nowadays, the availability of ICTs to support healthcare organizations’ processes and services is extensive. In this context, managers at various organizational levels need to understand and evaluate how each ICT can support different activities to benefit most from their adoption. The findings of this study can offer valuable insights to top and line managers of healthcare organizations for planning their investments in both existing and emerging ICTs to support the various stages of development and functions of PMM.

Most of the current literature focusing on ICTs in the healthcare sector refers to the contribution that technology provides to clinical processes and services, devoting limited attention to the impact of ICTs on administrative processes, such as PMM. To the best of the authors’ knowledge, this represents the first literature review on the contribution of ICTs to PMM in the healthcare sector. The review, differently from other research focused on specific ICTs and/or specific PMM functions, provides a holistic perspective to understand how these technologies may support healthcare organizations and systems in measuring and managing their performance.