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The study analyzes brand love in local eco-hijab fashion (LEHF) by discussing the value of collectivism, fashion consciousness, environmental value, religiosity and brand advocacy. LEHF becomes the trend pursued by consumers, so this can create market opportunities to optimize marketing strategies. The focus on LEHF in a sustainable fashion would allow local businesses to develop local values-based companies. This study uses the value attitude-behavior model to analyze data.

This research uses a quantitative survey to obtain data. The questionnaire is spread to 300 respondents with a purposive sampling approach, especially respondents who have worn LEHF.

This study shows that collectivism values, fashion consciousness, environmental values and religiosity influence brand love, while brand love influences brand advocacy related to LEHF. On the other hand, consumers are the target market with a fashion consciousness to follow the trend of hijab clothes. This also shows they wear clothes to fulfill religious values while prioritizing the latest styles.

Since this study focuses on LEHF, this product is only relevant to hijab fashion. This takes into account the potential of Muslim-dominated Indonesian society. The fashion category can be enlarged to include more local products in future studies. A large selection of goods may promote greater use of regional interests.

For business actors, particularly micro and medium firms that are just starting to grow to support the local hijab fashion industry company, this research has managerial implications. This presents a chance for business actors to improve the local economy and opens doors for establishing more employment possibilities. The growth of the regional hijab fashion market offers an opportunity to satisfy the demands of customers who favor regional goods. Brand love in LEHF may foster business revenue growth and help local firms compete favorably with international brands. Marketers for LEHF are anticipated to intensify their efforts to advance socialism, the environment and fashion sensibility. Additionally, LEHF marketers emphasize the importance of religiosity when promoting their products to the target population. Marketers are also aware that the study’s environment is Indonesia, which has 90% Muslim population. Marketers have an excellent opportunity to maximize this scenario.

This study also had social implications. The goal of producing locally made eco-hijabs is to benefit nearby communities and the environment. This aligns with the more general objectives of ethical and sustainable fashion. Sustainable methods are used in production, such as using eco-friendly colors, water conservation and waste reduction. Sustainable manufacturing methods are designed to reduce their adverse effects on the environment and encourage ethical production. Empowerment and community engagement may be involved in the manufacturing of locally-made eco-hijabs. This can entail educating and hiring regional craftspeople or incorporating neighborhood residents in manufacturing.

The study focuses on religiosity and environmental value to further analyze its influence on LEHF. The context of the products analyzed in this study is LEHF, which prioritized local production and strengthened local wisdom through pro-environment. The study used the VAB (value, attitude, behavior) model to analyze the concept.

This study aims to examine the effect of different types of innovation on the relationship between entrepreneurial orientation (EO) and small to medium enterprise (SME) growth.

This study used a quantitative approach to collect data from 480 SMEs in Australia and New Zealand through convenience sampling.

Based on partial least square structural equation modelling, this study found a direct positive relationship between EO and SME growth and an indirect positive relationship between EO and SME growth through business model innovation (BMI). This study emphasised that while SMEs use different types of innovation, they will achieve significant growth by innovating their business models.

The work has some limitations as the focus was on two countries (Australia and New Zealand) considered as developed countries. The result may differ when the study is conducted in developing countries. Also, EO was measured as a unidimensional construct without looking at the individual contributions of the EO dimensions to growth.

SME owner managers seeking growth of their firms must focus their effort on innovating their business models to achieve competitive advantage. Also, SMEs can integrate their product and process innovations in their BMIs to minimise imitation and increase growth.

The novelty of this paper is that while there are existing studies on EO and SME growth, this paper explores the mediating effect of different types of innovation on the relationship between EO and SME growth.

The aim of this research is twofold: (1) to investigate when the effect of R&D investment on New Product Development (NPD) performance peaks – the sweet spot and (2) to analyze the influence of firms’ export activities on where that spot is. Drawing on the knowledge-based view (KBV), we argue that export intensity and export experience lead to differential effects on how R&D investments are converted into new products.

We test our conceptual framework using time lagged data and optimal-level analysis. The dataset consists of an unbalanced panel of 608,891 observations and 333,516 firms.

The results support the expected inverted U-shaped relationship between R&D investment and NPD performance. They also show moderating effects of export intensity and experience. Export intensity enhances innovation processes by enabling firms to stretch the points at which R&D investments eventually taper off. In contrast, export experience improves firms’ ability to convert R&D investments into NPD performance. Our results demonstrate that, all else equal, firms with relatively higher export experience can spend less on R&D and still achieve higher levels of NPD performance.

We contribute to the literature by investigating how export activities provide a valuable context for understanding the theoretical mechanisms that help explain the inverted U-shaped relationship between R&D investment and innovation. We show the effects of exporting activities on the precise points where the R&D investment–NPD performance relationship peaks, thereby identifying the optimal point within this nonlinear relationship.

Mega construction projects (megaprojects) require technological innovation cooperation (TIC) to address complex construction demands and the interests of multiple stakeholders. Although TIC has been extensively discussed at the firm level, a significant gap remains in understanding megaprojects at the project level. This paper aims to identify TIC’s influencing factors and transmission paths and discuss stakeholders’ TIC mechanisms at the project level.

Based on case analysis, expert interviews, literature analysis and the Delphi method, this paper identifies the influencing factors of TIC in megaprojects at the project level. A structural system of these influencing factors is constructed by interpretive structural modeling (ISM), developing various mechanisms for TIC from bottom to top. The Matriced’ Impacts Croisés Multiplication Appliquée à un Classement (MICMAC) method validates the driving forces and dependencies of the influencing factors, clarifying their roles and positions within the system. Additionally, the TIC mechanism is constructed.

The research findings identify 26 influencing factors categorized into four hierarchical levels: cooperative relationships, cooperative behavior, cooperative performance and technological innovation risks. Regarding direct factors, resource sharing affects goal congruence and communication effectiveness in megaprojects, affecting TIC’s satisfaction and trust. Most factors exist in the middle layer, and bridging the upper and lower levels depends on stakeholder collaboration. The root factors in the independent group significantly impact TIC, including policy circumstances, high technical requirements and limited site conditions. Addressing these issues influences improvements in other factors. The development of a digital resource-sharing platform, the enhancement of innovation incentives, the optimization of benefit distribution mechanisms and the improvement of risk-sharing mechanisms are essential for the effective operation of the TIC mechanism.

This study contributes to identifying and classifying challenges and opportunities in TIC. It explores transmission paths for enhancing TIC and presents strategies for successfully implementing and delivering megaprojects.

Inspired by the internationalisation paths to prosperity of small and medium-sized enterprises (SMEs), where narcissistic leaders are diligent about organisations but also pursue their dark goals, this study aims to concurrently examine two avenues for the internationalisation of narcissistic leaders in SMEs concerning the function of team organisational citizenship behaviours (OCB): corporate social irresponsibility (CSI) and digital business model innovation (BMI).

This study utilised a quantitative design emphasising mature theory research, and data was analysed using multiple regression analysis and Hayes' process model. The data for this study was collected via surveys from 270 SMEs in Vietnam.

The study showed that narcissistic Chief Executive Officers (CEOs) can penetrate the global market profoundly by utilising both the righteous path, which is based on the power of the times via BMI, and the unethical path, CSI. However, team devotion via OCB can mitigate the unethical conduct of narcissistic CEOs.

The study endeavoured to find a path to internationalisation for SMEs in emerging markets with high economic openness and increasingly close connections with international markets, via two strategies for SMEs to conquer the international market more successfully, and with utilising the foundations of CEO narcissism and team citizenship behaviour.

This study contributed to the theory of SME internationalisation by employing the resource-based view and upper-echelon theory, with the updated Uppsala model as its foundation.

This study aims to examine whether agricultural commodities exhibited deviations in the lead-lag relationship between future and spot prices of farmer producer organizations (FPOs) traded commodities in the Indian derivative market after trade suspensions during Covid-19. The study may help buyers and sellers to get a fair price for their commodities after lockdown-trade disruptions.

The study applied the Granger causality (GC) test and the vector error correction model (VECM) to analyse short-run and long-run lead-lag relationships. Moreover, the study examined the pre-post-trade suspension effect on the lead-lag relationship of commodity prices.

The GC test results show that five out of the 13 agri-commodities have changed their lead-lag relationship from future to spot in the short run. Simultaneously, VECM captured changes in the lead-lag relationship for the same five commodities in the long run due to trade suspensions.

The findings indicate a reverse lead-lag relationship between future and spot prices for aforesaid commodities after trade suspension. The stakeholders may use the lead prices for these commodities to perform a fair trade. The study may be helpful in structuring price discovery strategy to achieve optimal price and efficient derivative trading.

To the best of the authors’ knowledge, this is the first study examining the effects of trade suspension on price discovery in FPO-traded agri-derivatives caused by the COVID-19 pandemic.

The paper presents the facts on the policy challenges and opportunities in the way forward of trade and economic co-operation in South Asia amid the coronavirus disease 2019, which comes to be the least economically integrated region worldwide. Due to tense geopolitics in South Asia, trade is heavily biased toward extra-regional markets despite of existing regional trade agreements (TAs) in the region.

Having tested the stationarity of data with structural break, the paper uses intra-regional trade in addition to other domestic economic variables as exogenous regressors in autoregressive distributed lag multivariate framework, hence raising the quality of statistical inference.

This paper highlights that intra-regional trade significantly affects the economic welfare as measured by Gross Domestic Product per capita of the people from the region, hence raising the need for higher regional trade openness. If trade barriers are overcome, all the South Asian countries will gain through effective implementation of regional TAs.

The study relies on the multivariate technique with regional trade share as the main exogenous variable. In addition, the regulatory and economic conditions of all countries are different which also tends to affect the mutual degree of trade relations.

Over the economic reasons, the manmade barriers owing to political differences are the root cause for the low intra-regional trade. Amid the pandemic, South Asian courtiers have the high time to leverage the bilateral trade for mutual benefits. India being the largest economy can play a decisive role in pushing forward the regional trade bloc – South Asian Association for Regional Cooperation (SAARC) – for achieving its objective through multilateral engagements in a wider perspective.

The present study makes pioneer efforts to examine the dynamic linkages between regional trade and economic growth. The results provide new insight into the dynamics of benefits driven by trade interdependency.

This study (1) explores what programmes police services promote for autistic individuals on their websites and (2) describes how autistic individuals are constructed in the information about these programmes.

All 53 official police service websites in Ontario, Canada, were examined to determine which programmes were promoted for autistic individuals. Inductive qualitative content analysis was used to identify and describe how autism was constructed in the information about the programmes.

About 64.8% of police services in Ontario, Canada, promoted at least one programme to autistic individuals and their caregivers. These programmes included Vulnerable Person and Autism Registries, MedicAlert™ and Project Lifesaver™. Autistic individuals were described as vulnerable using medicalised and tragic narratives of autism.

Autistic individuals and caregivers have suggested several interventions to improve police-autistic individual encounters. Little is known about which interventions police services have adopted and which representations of autism are used to describe autistic individuals.