Empirical Evidence Research Articles

Servant leadership and innovative work behavior: the role of innovation climate using evidence from the Ugandan local government sector

PurposeDrawing from the social exchange theory and leadership-making model, this study aimed to develop a research model where innovation climate (IC) mediates the servant leadership (SL) influence on innovative work behavior (IWB).Design/methodology/approachThrough structural equation modeling, we evaluated the aforementioned links using data gathered from 324 employees drawn from Uganda’s local government (LG) employees.FindingsThe findings show that the impact of SL on IWB is mediated by IC. An IC within the organization is made possible by effective SL ethos; moreover, this climate promotes IWB. Also, the innovative nature of LG employees promotes IWB.Research limitations/implicationsLG leadership ought to be committed to the SL philosophy since it fosters an environment that encourages IWB. To spark IWB, it should also take advantage of the innovative environment. Management must make sure that in such a setting, supervisors are construed as servant leaders and low cadre staff have the capacity to be servant leaders. Employees will be more motivated to contribute to the organization by engaging in high IWB once they have received the training, empowerment and rewards they deserve in a setting that emphasizes effective SL principles.Originality/valueDespite the existence of numerous studies, there is little empirical evidence that SL influences IWB within the setting of the LG sector. Evidence for the underlying mechanism by which SL promotes IWB is still lacking. Third, we explicitly test the IWB model developed based on euro-leaning theories using the LG context. Finally, there is a dearth of data relevant to how IC affects IWB. The research addresses these gaps.

Understanding impulse buying in interest-based e-commerce: the role of content creativity

PurposeThe popularisation of user-generated content has boosted the integration of social media with online retail, especially in the emerging context of interest-based e-commerce (IBEC). As the content brings new incentives for consumers’ impulsivity in consumption, it remains unclear understanding of the mechanism of impulse buying in IBEC from the current literature. This study aims to examine how content creativity encourages impulse buying intention though attitude, and whether the effect is moderated by consumers’ online shopping experience.Design/methodology/approachThis study administered a two-wave online survey to a purposive sample of 286 consumers with shopping experience in Douyin. The hypotheses and a moderated-mediation effect were tested using structural equation modelling in Mplus8.3.FindingsThe empirical results revealed that content creativity, including dual dimensions of relevance and divergence, can drive positive attitude towards platforms through the direct effect of subjective norm and mediation effect through perceived usefulness, which induces an urge to buy impulsively. The mediation effect is further moderated by consumers’ online shopping experience in IBEC.Originality/valueThis study expands the stream of impulse buying research in retailing by proposing a context of IBEC and bringing empirical evidence of the relationship between content and consumers’ urge to buy. The study provides strategic insights for retailers to achieve marketing value by managing consumers’ impulse purchases in IBEC.

Rural households' livelihood transitions in China: processes, drivers and outcomes

PurposeThis study aims to comprehensively examine the transitions in household livelihood strategies within rural China, including the underlying processes, drivers and outcomes.Design/methodology/approachThis study uses two waves (2010 and 2018) of longitudinal data from the China Family Panel Studies (CFPS), employing latent cluster analysis, regression models and cumulative distribution function within a dynamic household livelihood strategy framework.FindingsThe results show that (1) households’ livelihood strategies can be categorized into four distinct types, i.e. agricultural dominated, agricultural dominated with non-agricultural supplementation, non-agricultural dominated with agricultural supplementation and employment oriented. (2) During 2010–2018, approximately 60% of households underwent transitions in their livelihoods, encompassing both upward and downward trajectories, with a prevalence of upward transitions. (3) Various forms of livelihood capital significantly contribute to upward transitions, while the availability of land resources and exposure to shocks impede the potential for upward mobility. (4) The transition towards non-agricultural livelihood strategies by households leads to a notable enhancement in their livelihood welfare.Research limitations/implicationsIn the context of urbanization, industrialization and globalization, rural areas in China are undergoing a gradual socioeconomic transformation, which has also led to changes in rural households’ livelihood strategies. Nevertheless, a dearth of empirical investigation exists regarding the dynamics of rural households’ livelihood strategies, the determinants behind such transitions and the resulting outcomes on their livelihoods. A comprehensive understanding of livelihood transitions can provide valuable insights for policymakers in their endeavors to promote rural revitalization in China.Originality/valueBased on the nationwide representative datasets in China, it examines the micro-level livelihood transitions of rural households within the broader context of socioeconomic transformation that presents both opportunities and challenges, as well as vulnerable contexts, shaped by various government policies. This exploration would offer valuable theoretical and empirical evidence to advance our understanding of the process, driver and outcome of rural households’ livelihood transition in developing countries.

The role of agricultural cooperatives in mitigating opportunism in the context of complying with sustainability requirements: empirical evidence from Spain

AbstractThe convergence of emerging sustainability regulations and recommendations outlined in the European, national and regional agricultural policies, coupled with the growing demand from retailers for food produced through more sustainable agriculture practices, presents a substantial challenge for farmers. This challenge is further exacerbated by their limited access to essential information, knowledge, and resources necessary for compliance, which are often acquired through interactions with various stakeholders within the agri-food supply chain. Moreover, the inherent power asymmetry between small-scale farmers and their considerably larger counterparts, including input suppliers and agricultural product buyers, exposes farmers to opportunistic behaviours. In response to these challenges, agri-food cooperatives have been proposed as an organizational solution to mitigate opportunistic behaviour. However, empirical data-supported evidence of this proposition remains scarce. Drawing upon data obtained from Spanish farmers, our study investigates the impact of agri-food cooperatives on the incidence of opportunistic practices experienced by farmers during their interactions with suppliers and buyers. Through a propensity score matching analysis, our findings reveal that cooperative membership exerts a statistically significant negative influence on both supplier and buyer opportunism in the context of complying with sustainability requirements. These findings provide compelling empirical evidence of the pivotal role played by agri-food cooperatives in addressing opportunism within the supply chain. Importantly, they underscore the vital importance of cooperatives in mitigating the challenges associated with enhancing sustainability in agriculture.

The responses of the supply and demand sides of new energy vehicles to subsidy removal: Empirical evidence from China

The responses of the supply and demand sides of new energy vehicles to subsidy removal: Empirical evidence from China

Productivity effects of agroecological practices in Africa: insights from a systematic review and meta-analysis

Abstract Scholars have proposed agroecology as a promising method for promoting sustainable and socially just agricultural production systems. However, the extent to which agroecological practices will generate the yields required to ensure sufficient food globally remains unclear. This notion is particularly true in the context of Africa, where agricultural productivity is low but levels of hunger and malnutrition are high. To address this knowledge gap, this article undertakes a systematic review of empirical studies to assess the overall status of agroecology-related research in Africa. Using descriptive and meta-analytical methods, we evaluate empirical evidence on the effect of agroecological practices on land and labour productivity. Our analysis of 501 peer-reviewed articles reveals that the body of agroecology-related literature in Africa has been growing in the past 10 years from approximately 10 to more than 70 studies per annum before and after 2014, respectively, with a strong focus on East Africa, particularly Kenya. The majority of the reviewed studies relate to but do not mention agroecology in the title or abstract. Thus, solely relying on studies that use the term may introduce bias and overlook valuable research contributions to the field. The meta-analysis could identify 39 agronomic studies with 392 observations in which agroecological practices were compared to monocrop systems (defined as plots where similar plants grow alongside each other simultaneously and sequentially from one season to the next) with or without inputs as the control groups. The meta-analysis indicates that agroecological practices are associated with a positive and significant difference in land productivity, compared to that for monocrop systems especially so when monocrops are grown without inputs. However, the size and direction of yield differs by practice, crop, climatic factor, soil property and type of control.

Navigation Training for Persons With Visual Disability Through Multisensory Assistive Technology: Mixed Methods Experimental Study

Background Visual disability is a growing problem for many middle-aged and older adults. Conventional mobility aids, such as white canes and guide dogs, have notable limitations that have led to increasing interest in electronic travel aids (ETAs). Despite remarkable progress, current ETAs lack empirical evidence and realistic testing environments and often focus on the substitution or augmentation of a single sense. Objective This study aims to (1) establish a novel virtual reality (VR) environment to test the efficacy of ETAs in complex urban environments for a simulated visual impairment (VI) and (2) evaluate the impact of haptic and audio feedback, individually and combined, on navigation performance, movement behavior, and perception. Through this study, we aim to address gaps to advance the pragmatic development of assistive technologies (ATs) for persons with VI. Methods The VR platform was designed to resemble a subway station environment with the most common challenges faced by persons with VI during navigation. This environment was used to test our multisensory, AT-integrated VR platform among 72 healthy participants performing an obstacle avoidance task while experiencing symptoms of VI. Each participant performed the task 4 times: once with haptic feedback, once with audio feedback, once with both feedback types, and once without any feedback. Data analysis encompassed metrics such as completion time, head and body orientation, and trajectory length and smoothness. To evaluate the effectiveness and interaction of the 2 feedback modalities, we conducted a 2-way repeated measures ANOVA on continuous metrics and a Scheirer-Ray-Hare test on discrete ones. We also conducted a descriptive statistical analysis of participants’ answers to a questionnaire, assessing their experience and preference for feedback modalities. Results Results from our study showed that haptic feedback significantly reduced collisions (P=.05) and the variability of the pitch angle of the head (P=.02). Audio feedback improved trajectory smoothness (P=.006) and mitigated the increase in the trajectory length from haptic feedback alone (P=.04). Participants reported a high level of engagement during the experiment (52/72, 72%) and found it interesting (42/72, 58%). However, when it came to feedback preferences, less than half of the participants (29/72, 40%) favored combined feedback modalities. This indicates that a majority preferred dedicated single modalities over combined ones. Conclusions AT is crucial for individuals with VI; however, it often lacks user-centered design principles. Research should prioritize consumer-oriented methodologies, testing devices in a staged manner with progression toward more realistic, ecologically valid settings to ensure safety. Our multisensory, AT-integrated VR system takes a holistic approach, offering a first step toward enhancing users’ spatial awareness, promoting safer mobility, and holds potential for applications in medical treatment, training, and rehabilitation. Technological advancements can further refine such devices, significantly improving independence and quality of life for those with VI.

Manualised Attachment-Based Interventions for Improving Caregiver-Infant Relationships: A Two-Stage Systematic Review

Abstract As attachment-based interventions can improve caregiver-infant relationships and their subsequent psychological outcomes, the identification of relevant and effective interventions can facilitate their implementation into clinical practice. This systematic review aimed to a) provide an overview of manualised attachment-based interventions, without video-feedback as the main component, for caregivers and infants from conception to two years, and b) determine which of these interventions were effective in demonstrating improvements in caregiver-infant relational outcomes. To identify eligible interventions and their empirical evidence base, two search stages were conducted for 1) relevant interventions and 2) studies of interventions identified in the first stage that focussed on caregiver-infant relational outcomes. All studies included in Stage 2 were quality assessed and findings analysed. Twenty-six interventions were eligible for inclusion at Stage 1 but studies reporting on relational outcomes were identified for 16 interventions only. Forty studies reporting on those 16 interventions met inclusion criteria and were synthesised at Stage 2. Most studies were of good quality. Observer-rated measures were used in 90% of studies. There was evidence for these interventions in relation to improving caregiver-infant relational outcomes: 80% of studies reported a statistically significant positive change in a relational outcome for the intervention compared to pre-intervention or control group. The most promising evidence was identified for Attachment and Biobehavioral Catch-Up (ABC), Minding the Baby (MTB) and Circle of Security (COS). This systematic review offers guidance to healthcare professionals, commissioners and policymakers within perinatal sectors in relation to the training, delivery and implementation of evidenced manualised attachment-based interventions.

Navigating values: leadership behaviors for enhancing police organizational identity

PurposeThis study investigates the differential effectiveness of leadership styles within the German Federal Police Office, focusing on how these styles interact with employees' personal values to influence organizational identification (OI). Thus, we investigate the augmentation hypothesis and explore the moderating effects of personal values on leadership effectiveness regarding OI.Design/methodology/approachUtilizing a quantitative cross-sectional design, the study analyzes responses from 1,816 police employees via the Multifactor Leadership Questionnaire and Portraits Value Questionnaire. Hierarchical regressions are used to analyze the hypothesized associations.FindingsThe results indicate that transformational leadership significantly enhances OI more than transactional or laissez-faire leadership. Moderating effects of personal values reveal complex interactions: while transformational leadership consistently predicts higher OI, transactional leadership’s effectiveness varies according to the employees' values such as Conformity and Tradition enhancing OI, Universalism and Benevolence diminishing it. These findings suggest that leadership effectiveness in policing is contingent on aligning leadership style with the personal values of the employees.Originality/valueThis research contributes to the understanding of how personal values modulate the impact of leadership styles on organizational outcomes within police organizations. It underscores the necessity for police leaders to consider the value profiles of their employees to optimize OI and effectiveness. The study is among the first to systematically explore these dynamics within a law enforcement context, providing empirical evidence to inform targeted leadership development and policy-making in policing.

Artificial Intelligence and Strategic Decision-Making: Evidence from Entrepreneurs and Investors

This paper explores how artificial intelligence (AI) may impact the strategic decision-making (SDM) process in firms. We illustrate how AI could augment existing SDM tools and provide empirical evidence from a leading accelerator program and a start-up competition that current large language models can generate and evaluate strategies at a level comparable to entrepreneurs and investors. We then examine implications for the key cognitive processes underlying SDM—search, representation, and aggregation. Our analysis suggests that AI has the potential to enhance the speed, quality, and scale of strategic analysis, while also enabling new approaches, like virtual strategy simulations. However, the ultimate impact on firm performance will depend on competitive dynamics as AI capabilities progress. We propose a framework connecting AI use in SDM to firm outcomes and discuss how AI may reshape sources of competitive advantage. We conclude by considering how AI could both support and challenge core tenets of the theory-based view of strategy. Overall, our work maps out an emerging research frontier at the intersection of AI and strategy. History: This paper has been accepted for the Strategy Science Special Issue on Theory-Based View. Funding: The authors are grateful to their collaborating organizations and to the University of Michigan, Bocconi University Junior Researchers’ Grant, and the INSEAD eLab Research Fund for financial support.

What Drives the Top Management Team's Sentiment and Perception of Future Risk and Uncertainty? A Selling-Capability Based View

ABSTRACT Purpose This study postulates that a firm’s level of value appropriation capability (viz. selling capability) plays a pivotal role in influencing a firm’s top management team’s (TMT) sentiment and its perception of future risk and uncertainty. Further, the current study posits that the nexus between firm-level selling capability and the TMT’s sentiment and future risk perception is contingent upon the firm’s industry growth. Design/methodology/approach This research employs a textual analysis-based measure of TMT’s sentiment and perception of future risk and uncertainty and data envelopment analysis (DEA)-based measure of firm-level selling capability, using a sample of 243 USA-based firms during the period 2014 to 2020 and employing an endogeneity-robust econometric modeling technique. Findings The current study demonstrates that selling capability positively affects a firm’s TMT’s sentiment and negatively impacts the TMT’s perception of future risk and uncertainty. Furthermore, the association between selling capability and TMT’s sentiment and future risk perception are accentuated by industry growth. Research limitations/implications Future studies are warranted to unearth how the association between the focal variables changes depending on the effect of other firm-specific internal boundary conditions. Practical implications The results demonstrate sales and marketing managers should develop efficient sales organization and management techniques to bolster the overall firm-level selling capability. Managers should focus on enhancing their firm-level selling capability to maximize the positive impact on the TMT’s sentiment. Originality/value Although studies have shown the effect of managerial sentiment on firm behavior, there is no empirical evidence, to our knowledge, as to what drives TMT’s sentiment and perception of risk and uncertainty. The present treatise shows that a firm’s selling capability and industry growth affect the TMT’s sentiment and the perception of future risk and uncertainty.

Rising protectionism and foreign direct investment

AbstractThis paper investigates the impact of the changing international investment regime on foreign direct investment (FDI). Since the late 2000s, hundreds of international investment agreements (IIAs) have been renegotiated or terminated. We study the impact of these shifts in the global investment regime using a novel FDI dataset based on transaction-level investment data and detailed information on IIA provisions. Relying on a stand-alone partial equilibrium modeling framework, we hypothesize that rising protectionism in IIAs increased investment frictions and harmed FDI. We then use a parsimonious three-way gravity framework to test the hypothesis. The empirical evidence shows that reformed and newly enforced IIAs have no impact on FDI flows. Decreasing investment openness in recently implemented IIAs is the driving mechanism behind these findings. We also show that the effects of IIA termination differ by FDI type, being more pronounced for brownfield than greenfield FDI and larger for horizontal than vertical FDI. Lastly, we show significant treatment heterogeneity across industries, with capital-intensive sectors benefiting more from IIAs than labor-intensive ones. Our findings highlight the need to reconsider the benefits and costs of IIAs under an increasingly protective international investment regime.

Emergency intervention plans for treatment of suicidal patients: anarrative literature review

Safety or emergency plan interventions, i.e., the creation of alist of hierarchically organized strategies and persons/institutions that patients can use or contact in case of asuicidal escalation, are increasingly used in clinical practice. This narrative review describes the approach for establishing an emergency plan and discusses studies on the effectiveness of such interventions. In addition, ideas on the mode of action of corresponding interventions and application variants are discussed. Despite increasing dissemination of safety plans, empirical evidence of their effectiveness is currently inadequate. High-quality studies are urgently needed, particularly with respect to different clinical populations. At this point in time, it should be cautioned against understanding the creation of an emergency plan as asufficient intervention in dealing with suicidal patients.

Digital transformation, human capital upgrading, and enterprise ESG performance: Evidence from Chinese listed enterprises

Research background: With the rapid development of digital technologies such as artificial intelligence (AI), big data, cloud computing, and blockchain, the deep integration of digital technology and traditional industries offers unprecedented opportunities and has become an important technological force driving the development of enterprise environmental, social, and governance (ESG) performance. Digital transformation increases the complementarity between the production and operation processes of enterprises and highly skilled labour, specifically manifested in the adaptive change of the human capital structure of enterprises in labour relations. Meanwhile, transforming enterprises’ human capital structure also affects ESG performance. Purpose of the article: This study investigates the effects of digital transformation on enterprise ESG performance and its underlying mechanisms of human capital upgrading. First, it combines cutting-edge literature to analyse the theoretical mechanism between digital transformation, human capital upgrading, and enterprise ESG performance, revealing the internal driving factors and implementation paths for improving enterprise ESG performance. Second, we use the data of 3928 listed enterprises in the Shanghai and Shenzhen A-share markets from 2009–2022 to analyse the impact of digital transformation on enterprise ESG performance from the perspective of human capital upgrading as well as the mechanism by which digital transformation affects enterprise ESG performance through human capital upgrading. Third, we provide policy recommendations for optimising the labour structure and enhancing enterprise ESG performance from the perspective of optimising human capital and digital technology applications. Methods: Based on data from 3928 listed enterprises in Chinese A-share markets from 2009-2022, we investigate the effects of digital transformation on enterprise ESG performance and the mechanisms of human capital upgrading. The panel mediation effect model tests the relationships between digital transformation, human capital upgrading, and enterprise ESG performance. Findings & value added: In theory, digital transformation is beneficial for optimising human capital structure, accelerating green technological innovation, and improving management efficiency, thus improving enterprise ESG performance. Mechanism testing shows that digital transformation enhances enterprise ESG performance through human capital upgrading. Heterogeneity analysis shows that the impact of digital transformation on ESG performance is more significant in enterprises that are capital- and technical-intensive, and located in the eastern and central regions. This study examines the microeconomic consequences of digital transformation, contributing to a deeper understanding of the theoretical logic inherent in enterprises’ optimisation of their labour structure. It also provides empirical evidence and decision support for developing industrial talent policies.

Mandated gender-diversity policy and firm innovation

ABSTRACT We propose a theoretical model revealing that ‘mandated diversity’ policies increase the representation of women and minorities but lead to a decrease in firm innovation. This argument is supported by empirical evidence from countries with hard gender quotas.

Will the Intervention Benefit My Client? Helping Social Workers to Answer the Question Using Indicators of Clinically Meaningful Change

AbstractSocial workers strive to provide the best support to each client, making it crucial to consider not just group-level effects of interventions but also individual outcomes. While empirical evidence often stems from group-based analyses, these offer limited insights into individual change, which is key for tailoring interventions. The aim of this study is to highlight the importance of individual-level analyses, an underexplored area in social work, using four indicators of “clinically meaningful change” (CMC). We compare these analyses with group-level analyses using a dataset of 146 Swedish families undergoing Functional Family Therapy (FFT), an intervention with strong empirical support. While group-level analyses confirmed FFT’s general effectiveness in reducing adolescent psychosocial symptoms, individual-level analyses revealed a more nuanced picture, showing variations in outcomes—positive, negative, and neutral. The study thus demonstrates the value of CMC indicators for generating individual-level information that social workers can harness to find optimal solutions for their individual clients.

Key challenges in developing a gene therapy for Usher syndrome: machine-assisted scoping review.

Despite compelling empirical evidence demonstrating its efficacy, gene therapies for usher syndrome (USH) are not yet available for the patient's usage. This scoping review assessed the current scenario and analysed the challenges in implementing gene therapies for USH. A literature search was conducted using PubMed and Google Scholar through an artificial intelligence (AI) tool, MaiA, focusing on relevant publications from the last 10 years. We followed the methodological guidance of the Joanna Briggs Institute (JBI) and adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Scoping Reviews (PRISMA-ScR) checklist. Of 517 records, 51 reports were considered for final analysis. It identified and categorized challenges across four key areas: preclinical, clinical, economic, and regulatory. Of all, many reports (30) highlighted the preclinical challenges where the USH gene development process encountered roadblocks. Specifically, preclinical challenges included the lack of suitable in-vivo models and effective delivery methods. Clinical challenges focused on establishing clear endpoints and long-term safety and efficacy. Economic challenges addressed diagnostic issues and manufacturing hurdles, while regulatory challenges focused on expedited evaluation processes and guidance for clinical development. Our analysis uncovered key barriers to clinical translation of USH gene therapy and strategies to address them. Researchers are employing innovative approaches, including novel delivery methods such as minigenes and nanoparticles, inventive clinical trial designs, cohesive regulatory frameworks, strategic market assessments, and collaborative research initiatives. These efforts hold promise for impactful disease-cure and modifying interventions ultimately enhancing the quality of life for USH patients.

Shaping of the Woman Constituency in Indian Elections: Evidence from the NES Data

This article studies the patterns of women’s vote in the Lok Sabha elections in India in 2024. It draws upon the National Election Studies (NES) data of 2024 and of previous years to address three key questions related to women’s vote in Indian elections. The first is about the extent of Indian women’s political participation in the wake of increased turnout of women voters and the closing of the gender gap. The second question is about the extent of women’s support to the Bhartiya Janata Party (BJP) as their favoured party. In the absence of conclusive evidence on gender-wise patterns of vote, there have been several tentative and speculative analyses regarding the increasing support of women voters to the BJP both at the regional and national elections, especially since 2014. The article uses the unique window of the NES data sets to understand and decipher women’s support for the BJP and other political parties on a timeline. Finally, from within the confines of the empirical evidence provided by the NES data sets, it also tries to address a rather nuanced question of the arrival of women’s agency in the electoral democracy in India. With the help of the NES data sets, it tries to understand whether women vote mainly as women, prioritizing their gendered identities over other kinds of identities, and whether their voting patterns indicate the arrival of an autonomous women’s constituency in Indian democracy.

Tourist mobility packages in an island mass tourism destination: Exploring preferences heterogeneity and willingness-to-pay

Ensuring a sustainable and efficient transportation system meeting visitor mobility needs is paramount for mass tourist destinations. Recognising this challenge, some destinations are embracing Mobility as a Service (MaaS) solutions as a strategy to create a more sustainable transportation system for tourists. This study uses a discrete choice experiment to analyse tourists’ preferences and willingness to pay for MaaS packages in two well-known municipalities of the Canary Islands, one of Europe’s premier mass tourism destinations. The empirical evidence of taste heterogeneity revealed by the analysis indicates that a one-size-fits-all solution is inadequate. Therefore, the development of mobility packages must be tailored to the specific needs of distinct tourist segments. This approach caters to individual preferences and maximises the perceived value for each tourist segment, promoting the adoption of sustainable transportation options.

The Relationship Between Loneliness, Social Isolation, and Inflammatory Bowel Disease: A Narrative Review.

There is clear evidence that loneliness and social isolation have profound health consequences. Documenting the associations of loneliness and social isolation with inflammatory bowel disease (IBD) symptoms, disease severity, and treatment outcomes could meaningfully improve health and quality of life in patients with IBD. The purpose of this narrative review was to synthesize the empirical evidence on the associations of loneliness and social isolation with IBD symptoms, disease severity, and treatment outcomes. Articles were identified through systematic database searches. Quantitative studies that enrolled patients with IBD were included if they examined one of the following outcomes: (a) loneliness or social isolation or (b) IBD-related symptoms, disease severity, or treatment outcomes. We identified 1,816 articles after removing duplicates. Of the 18 studies that met the inclusion criteria, 15 were cross-sectional and 3 were longitudinal. Overall, studies found that loneliness was associated with greater disease activity, functional gastrointestinal symptoms, IBD illness stigma, depressive symptoms, daily IBD symptom burden, reduced resilience, and poorer quality of life. Social isolation was associated with higher prevalence of IBD hospitalizations, premature mortality, and depression. Findings suggest that loneliness and social isolation are associated with poorer health and quality of life in patients with IBD. Prospective cohort studies examining the biobehavioral mechanisms accounting for the associations of loneliness and social isolation with IBD-related outcomes are needed to guide the development of psychological interventions for individuals living with IBD.