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The purpose of this study is to examine tacit knowledge sharing within information systems development (ISD) projects by exploring the combination of social interdependence theory and regulatory focus theory (RFT).

A survey was conducted on 198 ISD professionals to investigate the effect of social interdependence on tacit knowledge sharing. The survey data were analyzed using partial least squares structural equation modeling (PLS-SEM), and the results were discussed.

This study reveals that team members tend to share tacit knowledge in a way characterized by cooperative interdependence, and different patterns of social interdependence have an impact on tacit knowledge sharing. The RFT explains the disparities in attitude toward tacit knowledge sharing. Specifically, individuals with a prevention-focused orientation positively moderate the impact of competitive interdependence on tacit knowledge sharing, while those with a promotion-focused orientation have a negative moderating effect on the effect of competitive interdependence on tacit knowledge sharing. Moreover, promotion-focused individuals negatively moderate the effect of cooperative interdependence on tacit knowledge sharing.

The study identifies important aspects of social interdependence in ISD projects that affect the management of tacit knowledge. Furthermore, the study shows that the influence of cooperative and competitive interdependence on tacit knowledge sharing is moderated by the regulatory focus of an individual, providing new insights into ISD knowledge management.

This review provides an overview of recent advances in electrochemical sensors for analyte detection in saliva, highlighting their potential applications in diagnostics and health care. The purpose of this paper is to summarize the current state of the field, identify challenges and limitations and discuss future prospects for the development of saliva-based electrochemical sensors.

The paper reviews relevant literature and research articles to examine the latest developments in electrochemical sensing technologies for saliva analysis. It explores the use of various electrode materials, including carbon nanomaterial, metal nanoparticles and conducting polymers, as well as the integration of microfluidics, lab-on-a-chip (LOC) devices and wearable/implantable technologies. The design and fabrication methodologies used in these sensors are discussed, along with sample preparation techniques and biorecognition elements for enhancing sensor performance.

Electrochemical sensors for salivary analyte detection have demonstrated excellent potential for noninvasive, rapid and cost-effective diagnostics. Recent advancements have resulted in improved sensor selectivity, stability, sensitivity and compatibility with complex saliva samples. Integration with microfluidics and LOC technologies has shown promise in enhancing sensor efficiency and accuracy. In addition, wearable and implantable sensors enable continuous, real-time monitoring of salivary analytes, opening new avenues for personalized health care and disease management.

This review presents an up-to-date overview of electrochemical sensors for analyte detection in saliva, offering insights into their design, fabrication and performance. It highlights the originality and value of integrating electrochemical sensing with microfluidics, wearable/implantable technologies and point-of-care testing platforms. The review also identifies challenges and limitations, such as interference from other saliva components and the need for improved stability and reproducibility. Future prospects include the development of novel microfluidic devices, advanced materials and user-friendly diagnostic devices to unlock the full potential of saliva-based electrochemical sensing in clinical practice.

Brief loving-kindness meditation (LKM) is introduced here as a valid social marketing intervention. LKM positively influences prosocial cognitions and affects. However, it remains unclear whether brief meditation interventions can influence prosocial behavior. This study aims to provide evidence of the effects of short LKM on prosocial behavior.

This study reports the results of three experiments examining the effects of brief LKM on donations to unknown others. The results are then integrated with the results of seven other studies testing the effects of brief LKM on prosocial behavior using a meta-analysis (n = 683).

LKM increased love more than the control group (focused breathing) in the three experiments; however, its effects on donations were mixed. The meta-analysis shows that LKM has a small-to-medium significant effect compared to active control groups (d = 0.303); moreover, age and type of prosocial measure used moderate the effects.

Results suggest that LKM can nurture prosocial emotions such as love and lead young individuals to donate. However, these emotions may not be sufficient to lead adult meditators to share their resources with unknown others. This study presents the first meta-analysis of brief LKM and provides insights into the use of meditation in social marketing programs.

This paper aims to provide a comprehensive analysis of the state of the art in energy efficiency for autonomous mobile robots (AMRs), focusing on energy sources, consumption models, energy-efficient locomotion, hardware energy consumption, optimization in path planning and scheduling methods, and to suggest future research directions.

The systematic literature review (SLR) identified 244 papers for analysis. Research articles published from 2010 onwards were searched in databases including Google Scholar, ScienceDirect and Scopus using keywords and search criteria related to energy and power management in various robotic systems.

The review highlights the following key findings: batteries are the primary energy source for AMRs, with advances in battery management systems enhancing efficiency; hybrid models offer superior accuracy and robustness; locomotion contributes over 50% of a mobile robot’s total energy consumption, emphasizing the need for optimized control methods; factors such as the center of mass impact AMR energy consumption; path planning algorithms and scheduling methods are essential for energy optimization, with algorithm choice depending on specific requirements and constraints.

The review concentrates on wheeled robots, excluding walking ones. Future work should improve consumption models, explore optimization methods, examine artificial intelligence/machine learning roles and assess energy efficiency trade-offs.

This paper provides a comprehensive analysis of energy efficiency in AMRs, highlighting the key findings from the SLR and suggests future research directions for further advancements in this field.

This study aims to investigate the integration of corporate social responsibility (CSR) at a functional level and examine its impact on company performance.

Using data from 435 Indonesian manufacturing companies, 11 hypotheses were tested on direct, indirect and total effects of the relationship between functional CSR integration and its impact on company performance. The stakeholder and contingency theories were applied.

The findings of this study reveal that functional CSR integration has a significant impact on customer, employee, operational and financial performances. The findings show that the relationship between functional CSR integration and financial performance can be mediated by customer, employee and operational performances. The results of this study also highlight that functional CSR integration has a stronger total effect on both customer and financial performances in environmentally non-sensitive industries than in environmentally sensitive ones.

This study expands the prior studies by providing a theoretical framework for the relationship between CSR integration and company performance, as well as testing the framework using quantitative research.

The findings can encourage managers to effectively integrate CSR into business functions to achieve superior social and financial performance, particularly in a developing country context.

To the best of the authors’ knowledge, this study is one of the first to empirically investigate the performance implications of integrating CSR into business functions and reveals new findings on how such integration can substantially improve company performance.

Religious tendencies have increased in post-Arab Spring countries, raising the question of whether this geopolitical event has affected consumers' orientations towards foreign products, including those that have positive country-of-origin image. This paper investigates the effect of Islamic religiosity on the relationship between consumer ethnocentrism and buying intention towards products from a developed country (France) in an Arab Spring country (Tunisia).

A survey questionnaire was lunched and data was collected from 492 Tunisian consumers living in both rural and urban areas. Research hypotheses were tested using a Partial Least Square- Structural Equation Modelling (PLS-SEM) method.

Tunisian consumers do not associate their ethnocentric feelings towards French products with their Islamic religiosity. Results show that both highly and moderately religious Tunisians trust French products because of their high country-of-origin image and their potential social connotations.

The results of this paper contribute to the literature that focuses on understanding consumption behaviours in developing countries in the aftermath of geopolitical events such as the Arab Spring.

Citizens can develop new products in the household sector (HHS), and although HHS innovations are generally valuable to others, they are seldom diffused by the innovator. In order to provide insight for the understanding of this diffusion failure, this article proposes to introduce the vocational and retirement perspective to consider how the innovator's chronological aging affects her diffusion channel selection. Commercial diffusion of HHS innovations allows older adults to continue a work-related identity. And, a satisfying work experience could enhance older adults' reliance on work for self-worth. Therefore, the relationship between the older HHS innovators and their commercial diffusion as well as the moderating effect of their person–organization (P–O) fit on this relationship was examined.

This study referred to the standard procedure and utilized a Japanese consumer panel to identify HHS innovators. The criterion of old age was set to 60+ years old. The hypotheses were tested with ordinary least squares regression analysis. The robustness of our findings was checked by analyzing two restricted samples.

In Japan, older adults are more likely to diffuse their HHS innovators commercially than to peers. This relationship is amplified when the older adults also perceived a P-O fit in their employer firm.

This paper adds to the evidence that older adults can be an important source of innovation. It – for the first time – points out that the vocational and retirement perspective can help researchers consider why a particular diffusion channel is selected and thereby provide insight for understanding when the diffusion failure of HHS innovation is alleviated. The moderating effect of the P–O fit originally suggests the “interdependent life spheres”, that is, older adults' work experience may affect their post-retirement life and their activity in the household sector.

The disparities of COVID-19 vaccination rates between the rural and urban areas have become apparent during this pandemic. There is a need to understand the root causes of vaccine hesitancy demonstrated by the rural population to increase coverage and to contain the disease spread throughout the United States. This study aimed to explore other factors influencing vaccine hesitancy among rural dwellers besides the geography-related barriers such as poor health care access and individuals having no or suboptimal insurance coverage.

By reviewing existing data and literature about vaccination, health literacy, and behaviors, and prevailing ideologies, we discuss the potential causes of vaccine hesitancy in rural areas that could create barriers for successful public health efforts related to vaccine coverage and provide suggestions to ameliorate the situation.

Geography-related barriers, health literacy, and preconceived notions are key determinants of adopting healthy behaviors and complying with public health authorities' recommendations among rural individuals during a public-health crisis. We argue that ideology, which is much deeper than preconception or misconception on vaccination, should be incorporated as a key factor to redefine the term “vulnerable populations” in public health research.

The limitation of our study is that we have not found an effective way to encourage the populations who hold conservative religious and political ideologies to join the efforts for public health. Even though geography-related barriers may strongly impact the rural dwellers in achieving optimal health, the various forms of ideologies they have toward certain health behaviors cannot be discounted to understand and address vaccine-related disparities in rural areas. There is a need to redefine the term “vulnerable population” particularly as it relates to rural areas in the United States. During large-scale public health disasters, scholars and public health authorities should consider the ideologies of individuals, in addition to other factors such as race/ethnicity, area of residence (rural vs. urban), and socioeconomic factors influencing the existing vulnerabilities and health disparities.

This study aims to identify the determinants of housing affordability in an effort to inform policy.

The authors use econometric analysis to determine variables that impact housing affordability in the USA.

The authors find that affordability depends on a number of demographic factors as well as physical characteristics of properties, including average age of homeowner, family size and average dwelling square footage. The authors also find that vacancy rates, increase in house price and median family income also have a significant impact on housing affordability. Additionally, the authors find that households with high-cost burdens are more vulnerable to mortgage rates and property taxes than those with moderate-cost burdens. As a result, changes in economic or policy variables tend to have a disproportionate impact on high-cost-burdened households, and they are more vulnerable to economic and policy shocks.

To date, the literature has not done a systematic investigation of housing affordability using detailed census data.