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This paper aims at exploring the factors that are important for the digital development of small and medium-sized enterprises (SMEs) in response to the coronavirus disease 2019 (COVID-19) crisis compared to large-sized enterprises.

Using data from a survey in Greek firms during the pandemic, econometric models are estimated to identify factors that are related to the expansion of digital marketing and e-commerce practices of SMEs and large-sized enterprises based on the technology–organization–environment framework.

The results suggest that while further investments in information and communication technology (ICT) infrastructure are important for the digital development of SMEs during the COVID-19 crisis, it is the innovative activities that advance the digitalization of large-sized enterprises. Also, SMEs, which implement flexible human resource (HR) practices (such as remote work) and face delays in the supply chain due to the pandemic, appear to have increased probability of expanding their digital marketing and e-commerce. On the contrary, HR practices do not seem to matter for large firms, while new regulations appear to discourage their digital development during the COVID-19 crisis.

This is the first study which empirically explores the digital reactions of SMEs compared to those of large-sized enterprises in a pandemic crisis context. It advances the limited knowledge on the potentially different responses of SMEs and large-sized enterprises to major external shocks with respect to their digital marketing and e-commerce expansion.

A traceability system is a key success factor in global food trade, but implementing it in vegetable oil industry is one of the most difficult undertakings in food supply chain management. This study aims to (1) identify typical operational barriers in the implementation of bulk-liquid traceability system in the Indonesian vegetable oil industry by considering the perspective of experts and (2) model the relationship between the barriers structurally in order to improve the reliability of the traceability system.

To do so, data from in-depth interviews with experts were examined by using content analysis. Then the authors used a combination of decision-making trial and evaluation laboratory (DEMATEL), interpretive structural modelling (ISM) and matrice d'impacts croisés multiplication appliqué un classement (MICMAC) to construct the hierarchical model and to cluster the typical barriers based on their driving power and dependence power.

In total, 20 typical traceability barriers along the internal chain (supplier-input-process-output-customer) were identified. The interrelationships between these barriers were modeled in a hierarchical structure, seeking to answer why it is difficult to implement a traceability system and what actions should be taken to remove these barriers.

The model can shed light on how to manage barriers in bulk-liquid food commodity industry, especially in the vegetable oil industry. An action map has been proposed to overcome the operational barriers. This model will also help tracing the critical points of the traceability system.

Compared to other food commodities, operational barriers in vegetable oil chain has never been studied specifically. In fact, there are many operational aspects that hinder traceability. The Indonesian context entails social, economic and environmental factors as well, so it can inform decision-makers in formulating an action map.

This article investigates the determinants of cross-section variation of initial public offerings' (IPOs) first-day returns in a sample of 710 issues across seven emerging markets between 2013 and 2017.

Ordinary least squares regression (OLS) and the semi-parametric quantile regression (QR) technique are employed. QR enables to analyse beyond the explanatory variables' relative mean effect at various points in the endogenous variable distribution. Furthermore, parameter estimates under QR are robust to the existence of outliers and long tails in the data distribution.

Underpricing varies across countries with an average of 78%. According to the OLS results, independent variables explain 26% of the variation of IPOs' first-day returns. Findings show that employing QR is important, given the non-normality of the data and because each quantile is associated with a different effect of explanatory variables.

In addition to firm-specific, market-specific and issue-specific factors, the paper extends IPOs' underpricing literature through studying the impact of country-specific characteristics, largely neglected by literature, on IPO underpricing.

This study explores how emotional intelligence, customer orientation, deep acting and surface acting influence job satisfaction among middle managers in their interactions with customers, colleagues and business partners. By examining these factors, we aim to provide insights into their collective impact on job satisfaction and interpersonal dynamics within organizational contexts.

By involving 95 middle managers at Indonesian Internet service providers as respondents, this research used a questionnaire to collect data. Next, the data were analyzed using the partial least square-structural equation modeling (PLS-SEM) technique, which evaluated measurement models and structural models. A total of twelve hypotheses were tested in this study.

This study found that customer orientation does not have a significant effect on deep acting, thereby nullifying its indirect effect on job satisfaction. Conversely, it's demonstrated that both deep acting and surface acting serve as partial mediators in the relationship between emotional intelligence and job satisfaction. Furthermore, surface acting emerges as a partial mediator in the connection between customer orientation and job satisfaction.

By exploring the relationship between customer orientation, emotional intelligence and job satisfaction among employees, this study seeks to reveal novel insights. The study examines the impact of these critical elements, which are necessary for middle managers to effectively manage their emotions and cultivate significant connections, on their overall job satisfaction and interpersonal dynamics in their diverse responsibilities.

This study seeks to investigate how psychological capital (PsyCap), proactive personality and perceived organizational support (POS) influence organizational citizenship behavior (OCB) through the lens of meaning of work (MoW) within correctional institutions in the North Sumatra, Indonesia.

This study employed a quantitative approach involving 276 officers. Path analysis was conducted utilizing the partial least squares-structural equation modeling (PLS-SEM) technique.

The ten-hypotheses testing showed that one hypothesis is not supported, specifically the effect of proactive personality on OCB. However, the indirect effects of PsyCap, POS and proactive personality on OCB through MoW were successfully proven.

The results of this study both reinforce and provide insights into how the MoW can contribute to OCB, particularly within the context of densely populated correctional facilities. It aims to fill a significant gap in the current body of knowledge and enhance our understanding of the key factors that influence the behavior of correctional officers in a challenging and complex environment.

This research seeks to reveal the mediating role of work engagement and affective commitment as individual aspects that have the potential to bridge the effect of empowering leadership on the task performance of Correctional Service counselors in Indonesia, especially due to the limited literature on these two aspects in the context of public organizations.

Quantitative research was conducted on 350 counselors throughout Indonesia. The data was collected by distributing questionnaires online. The collected data were then analyzed using Structural Equation Modeling to test the seven research hypotheses.

Empowering leadership significantly strengthens task performance, work engagement and affective commitment. For indirect effects, this study found that affective commitment partially mediates the effect of empowering leadership on task performance. Meanwhile, work engagement failed to act as a mediator because it did not significantly impact strengthening task performance.

Notably, the unexpected result of work engagement's inability to significantly boost task performance deviates from the prevailing trends observed in previous empirical research, thereby adding a novel dimension to the findings of this study.

The purpose of this paper is twofold: to identify levels of uptake of performance measurement by small and medium‐sized retail companies selling goods online, and to determine key factors, which could explain any variation in use of performance indicators. The study is designed to explore these issues by this type of retailer as currently understanding is fairly limited.

A quantitative mail questionnaire was used to survey UK retailers selling goods online. The questionnaire examined the uptake of performance measurement in conjunction with the business profile of each of the 252 responding companies.

The results show great variation in levels and extent of uptake of performance measurement by online retailers in the UK. Company profile variables: size and operating format help to account for the variation in the number of indicators measured.

The sample frame has some limitations insofar as the study only focused on small and medium‐sized retailers in the UK selling tangible goods. Future research could be extended to include larger and pan‐European retailers selling both tangible and intangible goods. Furthermore, the data collection was cross‐sectional and, whilst this approach was important at this stage in order to provide a picture of how performance measurement is being applied at a given point in time, a longitudinal study would enable greater analysis of strategic impact of performance measurement.

Currently, retailers' performance measurement activities mainly focus on gathering data using financial and Website functionality indicators. From a strategic planning perspective, this could suggest that retailers are adopting a short‐term pragmatic approach towards retailing online. The implications are that performance measurement is being used as a means to ensure that Internet retailing is not having a detrimental effect on business performance rather than driving longer‐term strategy development.

The principal contributions of this paper are that it has provided insight into the current status of performance measurement amongst UK Internet retailers and has identified a useful checklist of performance indicators which retailers can apply to gain a comprehensive view of business performance online.

The purpose of this paper is to provide evidence of the influence of different e‐business technologies on capital productivity (CP). Productivity measurement is a useful tool to gauge business performance. However, currently there is little empirical evidence to support the impact of e‐business technologies on productivity.

In this paper, an empirical investigation of 132 small and medium enterprises (SMEs) in the UK telecommunication sector was carried out, using a hierarchical regression. In doing so, three different types of technologies that may be associated with e‐business (i.e. internet‐based applications, groupware applications, and collective systems) were considered.

The main findings are that any improvement in CP is significantly influenced by groupware applications and collective systems. Therefore, the UK SMEs and other large companies might be over‐investing in the development of web sites to support their internet presence, while under‐investing in promoting awareness and the use of these services to customers (i.e. groupware applications and collective systems).

Measuring the payoff is more difficult in e‐business environments because applications cut across boundaries thereby affecting multiple parties. Hence, alternative metrics to measure payoff from multiple perspectives could be necessary. Productivity measurements were conducted in the SME UK telecommunications sector, and hence findings are valid within this specific context.

The results of this paper provide interesting insights on the performance drivers of companies using e‐business technologies. The findings can guide managers in focusing their energies on e‐business technologies and represent an approach to determine which e‐business technologies are more likely to lead to a boost in productivity.

Despite the significance of donations (Sadaqah) via mobile payment in Islamic countries, little is known about the variables influencing continuance intention toward using m-payment for donations (Sadaqah). Based on the stimulus-organism-response (S-O-R) model, this research explores the influence of perceived quality (i.e. system, information, service) as a stimulus on customer satisfaction, engagement and delight as organisms, which then affects continuance intention toward using m-payment for donations (Sadaqah) as a response. Moreover, the study investigates the moderating role of Islamic religiosity.

Using partial least squares structural equation modeling (PLS-SEM), a representative data sample of 419 Egyptian Muslims was analyzed to test hypotheses.

The findings revealed that all perceived quality constructs significantly positively affect customers' satisfaction. Customer satisfaction, in turn, positively affects customer engagement and delight. Moreover, customer engagement, delight and Islamic religiosity significantly positively affect continuance intention toward using m-payment for donations (Sadaqah). The findings also revealed that Islamic religiosity moderates the influence of customer engagement and customer delight on continuance intention toward using m-payment for donations (Sadaqah).

This is the first study to examine using m-payment for donations (Sadaqah) in an Islamic environment based on the S-O-R model.

The objective is to ascertain and amalgamate the extant data about farmers' plans for climate change adaptation and mitigation. The chapter provides comprehensive insights to help farmers and policymakers make informed and relevant decisions.

We conducted five-step scoping review procedure with key databases: Scopus, ProQuest, Science Direct, Springer Link and PLOS ONE. The keywords including climate change AND Agriculture AND production AND rice AND farmer AND farming AND mitigation AND adaptation AND resilience AND Indonesia focusing on publications from 2013 to 2023. We employed PRISMA-Scr protocol and data were thematically extracted using NVivo 12 Plus tool.

The search yielded 878 records, of which 116 were screened in full text, and 37 were included in the review. Key findings indicate that adaptation strategies and management planning involving social capital and social networks are essential for anticipating and responding to climate change-induced disasters. The collaboration between farmers, farmer groups, government and NGOs is pivotal for climate change mitigation.

The research implications highlight the need for targeted policy interventions and capacity-building initiatives to enhance farmers' knowledge and skills in climate change adaptation, fostering collaboration among various stakeholders.

The originality and value of the paper lie in the comprehensive review of the adaptive measures and strategies employed by farmers in Indonesia to mitigate the impacts of climate change on agriculture. This contribution is significant as it not only addresses local challenges but also connects them to broader global discussions on food security and climate adaptation.