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Supply chains need to be made viable in this volatile and competitive market, which could be possible through digitalization. This study is an attempt to explore the role of Industry 4.0, smart supply chain, supply chain agility and supply chain resilience on sustainable business performance from the lens of natural resource-based view.

The study tests the proposed model using a covariance-based structural equation modelling and further investigates the ranking of each construct using the artificial neural networks approach in AMOS and SPSS respectively. A total of 234 respondents selected using purposive sampling aided in capturing the industry practices across supply chains in the UK. The full collinearity test was carried out to study the common method bias and the content validity was carried out using the item content validity index and scale content validity index. The convergent and discriminant validity of the constructs and mediation study was carried out in SPSS and AMOS V.23.

The results are overtly inferring the significant impact of Industry 4.0 practices on creating smart and ultimately sustainable supply chains. A partial relationship is established between Industry 4.0 and supply chain agility through a smart supply chain. This work empirically reinstates the combined significance of green practices, Industry 4.0, smart supply chain, supply chain agility and supply chain resilience on sustainable business value. The study also uses the ANN approach to determine the relative importance of each significant variable found in SEM analysis. ANN determines the ranking among the significant variables, i.e. supply chain resilience > green practices > Industry 4.0> smart supply chain > supply chain agility presented in descending order.

This study is a novel attempt to establish the role of digitalization in SCs for attaining sustainable business value, providing empirical support to the mediating role of supply chain agility, supply chain resilience and smart supply chain and manifests a significant integrated framework. This work reinforces the integrated model that combines all the constructs dealt with in silos so far in prior literature.

The surge in pharmaceutical and health supplement usage among consumers aims to enhance personal well-being. This growing opportunity for pharmaceutical brands has resulted in increased market share and intensified industry competition. Using the theory of planned behaviour (TPB), this study aims to identify the factors influencing Malaysians’ choices regarding pharmaceutical and health supplements. In addition, the variable of past behaviour was incorporated to account for consumer decisions based on prior experiences.

Using purposive sampling, 300 questionnaires were gathered and analysed via Statistical Package for the Social Sciences and structural equation modelling technique via Analysis of Moment Structures software to validate the reliability of each variables and the postulated relationships within the research framework.

Results revealed a pronounced impact of past behaviour on the intention to consume pharmaceutical and health supplements. The mediating role of perceived behavioural control in bridging past behaviour and consumption intention was also ascertained. Notably, the findings support the inclusion of past behaviour in the TPB as a pivotal determinant of intention.

The insights gleaned underscore the escalating trend of pharmaceutical consumption in Malaysia, providing strategies to enhance and maintain the competitive edge and market position of pharmaceutical brands.

Considering the impact of the Free Trade Zone (FTZ) policy on forecasting the port cargo throughput, this paper constructs a fractional grey multivariate forecasting model to improve the prediction accuracy of port cargo throughput and realize the coordinated development of FTZ policymaking and port construction.

Considering the effects of data randomization, this paper proposes a novel self-adaptive grey multivariate prediction model, namely FDCGM(1,N). First, fractional-order accumulative generation operation (AGO) is introduced, which integrates the policy impact effect. Second, the heuristic grey wolf optimization (GWO) algorithm is used to determine the optimal nonlinear parameters. Finally, the novel model is then applied to port scale simulation and forecasting in Tianjin and Fujian where FTZs are situated and compared with three other grey models and two machine learning models.

In the Tianjin and Fujian cases, the new model outperforms the other comparison models, with the least mean absolute percentage error (MAPE) values of 6.07% and 4.16% in the simulation phase, and 6.70% and 1.63% in the forecasting phase, respectively. The results of the comparative analysis find that after the constitution of the FTZs, Tianjin’s port cargo throughput has shown a slow growth trend, and Fujian’s port cargo throughput has exhibited rapid growth. Further, the port cargo throughput of Tianjin and Fujian will maintain a growing trend in the next four years.

The new multivariable grey model can effectively reduce the impact of data randomness on forecasting. Meanwhile, FTZ policy has regional heterogeneity in port development, and the government can take different measures to improve the development of ports.

Under the background of FTZ policy, the new multivariable model can be used to achieve accurate prediction, which is conducive to determining the direction of port development and planning the port layout.

To explore a potential relationship between politicians’ media background and social media success through an analysis of content and engagement strategies adopted by three consecutive Israeli prime ministers on their official Facebook pages.

A detailed comparative content analysis of a total of 1,242 posts published by three Israeli prime ministers – Benjamin Netanyahu, Yair Lapid and Naftali Bennett – on the same official Facebook account, “the Prime Minister of Israel,” during their respective terms. Metrics like engagement rates, content distribution and media type utilization were considered.

All analyzed prime ministers exhibited consistent messaging strategies, suggesting a standardized approach to digital political communication. However, we found no correlation between a politician’s media background and their success on social media. Instead, decisive determinants of engagement outcomes were factors like longstanding political exposure and familiarity.

The observed uniformity in leaders’ messaging strategies indicates a prevalent standardized approach in digital political communication, revealing potential avenues for innovation and diversification.

This research challenges the prevailing notion that background in media inherently benefits digital political engagement, emphasizing the significance of political experience. The results provide new insights into the evolving landscape of political communication. Using signaling theory to evaluate how digital content reveals leaders’ intentions and credibility, our findings provide new insights into political communication in the digital era.

The call for supply chain transparency (SCT), especially the environmental, social and governance (ESG) aspect, is getting increasingly louder. Based on the signaling theory, our study investigates the operational benefit of supply chain transparency in terms of ESG (SCT-ESG). To further clarify the signaling process, the moderating roles of digitalization of the firm and signal strength are also examined.

Longitudinal secondary data from multiple databases are matched and analyzed using ordinary least squares (OLS) regressions to validate the proposed hypotheses.

Results suggest that with SCT-ESG, firms have a weakened disparity between production variance and demand variance, and the supply chain experiences a reduced bullwhip effect. Further, digitalization of the focal company and signal strength reinforce the negative effect of SCT-ESG on the bullwhip effect.

The study integrates the SCT and ESG literature through SCT-ESG, extending benefits of ESG disclosure to the supply chain context. It extends the application of the signaling theory in OSCM by including contextual factors of digitalization and signal strength.

The postponement principle concerns defining when and where value is added, usually referring to hardware components for physical products. However, in modern supply chains, software’s importance is increasing, impacting the timing and location of value-adding operations. Lacking insights into software-driven implications for postponement, we aim at elaborating on the postponement principle by contextualizing its evolution when integrating different objects (i.e. hardware and software).

We adopted an abductive approach to elaborate on the existing knowledge with original empirical insights. A single-case study with four subcases allowed us to explore postponement dimensions in the context of a global high-tech enterprise offering products that integrate hardware and software objects. As global supply chains involve multiple jurisdictions with heterogeneous regulations, we also analyzed in depth the emerging fiscal and legal implications.

Besides where and when value is added, the study illustrates that deciding who (i.e. what legal entity) is carrying out what operation on what kind of object is highly important. Moreover, fiscal and legal implications for the various legal entities strongly depend on what operations are executed and in which jurisdiction (where). The study identifies critical interrelationships among postponement dimensions when integrating hardware and software objects, highlighting the importance of understanding and managing their reciprocity with the emerging fiscal and legal risks.

We elaborate on the postponement principle by contextualizing its applications when integrating hardware and software objects in global supply chains, which include multiple jurisdictions. By formalizing the impact of the who dimension, the study contributes to developing the interorganizational perspective for postponement. Moreover, it extends the traditional cost perspective for postponement beyond the trade-off between responsiveness and cost-efficiency, suggesting that firms applying global postponement should extend their focus to also examine fiscal and legal risks for all the legal entities involved.

Considering the financial service providers’ (FSPs) information asymmetry in evaluating the supplier and their distinct quit probabilities, we want to examine the supplier’s preference of the financing schemes if both the bank and the online platform exist and how the buyer sets the contract terms in the two financing schemes.

We establish a Stackelberg game model to capture the interactions among three parties, i.e. a supplier, a capital-sufficient buyer and an FSP (either a bank or an online platform), within a first-time contract.

In the non-FSPs’ quit case, the buyer’s profit is higher under the bank loan scenario, while the supplier’s profit performs adversely. The supply chain’s profit is heavily dependent on the buyer’s profit difference between the two financing schemes. Moreover, we find that the supplier borrows the money to exactly cover the production cost. The equilibrium solutions of the FSPs’ quit case and of the capital-sufficient supplier’s case are also derived.

First, we assign different risk profiles to different FSPs in our setting so that modeling a previously ignored but practically significant problem. Second, we innovatively take the FSP’s quit probability into account in our model. Third, we elucidate how these factors can influence the relative efficiency of the two types of financing schemes and the settings of the contract, which further complements and extends the current SCF research.

Drawing on the moral foundations theory (MFT), we examine what nonprofit organizations (NPOs) discuss and how NPOs engage in gun-related issues on Twitter. Specifically, we explore latent topics and embedded moral values (i.e. care, fairness, loyalty, authority, and sanctity) in NPOs’ tweets and investigate the effects of the latent topics and moral values on invoking public engagement.

Data were retrieved by the Twint Python and the rtweet R packages. Finally, 5,041 tweets posted by 679 NPOs were analyzed via unsupervised topic modeling and the extended moral foundations dictionary (eMFD). Negative binomial regression analysis was employed for statistical analysis.

NPOs’ engagement in gun-related issues mainly focuses on laws and policies, calling for action and collaborations, and school safety. All five moral foundations are more salient in the cluster of laws and policies. When NPOs discuss the above-mentioned three topics, the public is less likely to like or retweet NPOs’ messages. In contrast, NPOs’ messages with the sanctity foundation are most likely to receive likes and retweets from the public. The fairness foundation interacts with Cluster 3 of school safety on the number of likes.

This study enhances the understanding of gun-related social media discussions by identifying the crucial involvement of NPOs as major stakeholders. In addition, our study enriches the existing literature on NPOs’ social media communication by including moral values and their moral-emotional effects on public engagement. Finally, our study validates the eMFD dictionary and broadens its applicability to gun-related topics.

Building upon Social Exchange Theory, this study explores the relationship between perceived opportunities for competency development (POCD), subjective career success (SCS), and organizational citizenship behaviors (OCBs). Given the importance of SCS in providing mutual benefits for both the employee and the organization, this study examines how SCS plays a mediating role in the relationship between POCD and OCBs.

Data was collected from 353 full-time working professionals in Malaysian organizations through a two-wave hardcopy questionnaire survey. The data was then analyzed using structural equation modeling and the bootstrapping method.

The study found no significant direct relationship between POCD and OCBs. However, the bootstrapping analysis uncovered that SCS mediated this relationship, indicating a significant full mediation effect.

To increase the external validity of findings, future studies should include samples from various industries in both the public and private sectors.

In contrast to the findings from previous studies, this study adds value to the career literature by demonstrating that without a sense of SCS, even with competency development opportunities, employees are less likely to engage in OCBs. It highlights the importance of SCS in fostering mutual benefits for both the employee and the organization.

Artificial intelligence (AI) is shaping the future of the marketing world. This study is the first to examine the effect of AI marketing efforts, brand experience (BE) and brand preference (BP) in light of the stimulus-organism-response (SOR) model.

The data collected from 398 participants by the questionnaire method were analyzed by SEM (structural equation modeling) using Smart PLS 4.0 and IBM SPSS 26 programs.

We find that four SOR elements of AI marketing efforts (information, interactivity, accessibility and personalization) positively impact bank customer BE, BP and repurchase intention (RPI). Further, we find that BE plays a mediator role in the relationship between AI marketing efforts, RPI and BP.

The findings of the study have significant implications for the bank marketing literature and the banking industry, given the limited evidence to date regarding AI marketing efforts and bank–customer relationships. Moreover, the study makes important contributions to the AI marketing and brand literature and helps banks increase customer experience with artificial intelligence activities and create long-term relationships with customers.