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This study aims to find the relationship of stock market returns and selected financial market variables (market capitalization, earnings per share, price-earnings multiples, dividend yield and trading volume) of Malaysia grounded by the arbitrage pricing theories.

This study empirically examines the effects of selected financial market variables on stock market returns using 64 companies listed in Malaysia's stock market with data spanning from 2005 to 2018. A systematic empirical study based on the Generalized Method of Moments following Arellano and Bond (1991) has been taken to estimate the effect.

The regression result of the financial market variables and stock market return shows that, except for trading volume, all selected financial market variables play significant roles in the stock market returns. Furthermore, market capitalization, earnings per share, price-earnings ratio, dividend yield and trading volume have a positive impact on stock market returns.

The outcome of this study can contribute by helping domestic and global investors devise strategies to minimize their risks. Also, policy administrators can use the outcomes of this study to inform the micro- and macro-level policy formulation.

This study will contribute to filling the gap in knowledge concerning the new release of factors affecting the stock market returns of Malaysia.

Drawing upon the elaboration likelihood model, this study aims to illuminate contradictory findings from previous research regarding the impact of positive and negative emotions, as well as promotions, on impulse buying (IB). Specifically, this study takes a two-faceted approach to IB, considering both affective IB and cognitive IB.

A proposed model of IB is tested using a mall intercept survey.

The findings provide evidence for the two-dimensional nature of IB. Cognitive and affective IB are affected differently by promotions and emotions, and in turn, have different impacts on cognitive dissonance (CD). Specifically, promotions have a positive effect only on cognitive IB, while positive emotions have a positive effect only on affective IB. Additionally, cognitive IB positively affects CD, while affective IB does not.

Future research could explore different types of IB and unplanned purchases, consider the valence and arousal dimensions of emotions and examine how technological changes impact IB. Additionally, studying satisfaction as a mediator between IB and cognitive dissonance can contribute to the understanding of IB post-purchase outcomes.

By tailoring promotional techniques to cognitive IB and using positive emotions to stimulate affective IB, retailers can enhance the effectiveness of strategies. Furthermore, post-purchase strategies can be developed to reduce the negative effects of CD.

By exploring the different dimensions of IB and their relationships with CD, this study enhances our understanding of the underlying processes and mechanisms that drive consumer IB behavior during and after shopping trips.

Nested within institutional theory and the political economy perspective, this study aims to examine Chinese outward foreign direct investments (OFDI)-supporting organizations and fostering mechanisms for its SMEs in Europe’s largest economy, Germany.

The authors conduct a multiple-case study to present rich insights from elite interviews with representatives of Chinese and German governmental organizations, intermediary parties and specialized OFDI consultants. In addition, the authors analyze secondary data such as presentations, websites, brochures, social media and recent Chinese OFDI policies for SMEs. The findings are triangulated by interviewing business owners and senior executives of seven Chinese SMEs that have invested in Germany.

Cooperating with Germany’s federal government, China’s ministries implemented an effective OFDI support network in Germany, which connects and benefits both economies. This includes Chinese governmental organizations, privately-held national champions, German–Chinese business associations and linked intermediary parties. These organizations support SMEs through four main mechanisms: networking and information, mutually beneficial knowledge transfer between innovation partners, lobbying for potential cooperation and an objective picture of Chinese OFDI and facilitating investment services.

This study advances OFDI theory and contributes to the growing discussion on the internationalization of Chinese SMEs by shedding light on China’s OFDI support organizations and mechanisms in the German market. The study also offers practical contributions. Understanding better how governments can spur internationalization is vital, as it determines the effectiveness of policymaking and fosters international mutual understanding, cultural exchange and firm growth and innovation (Ahlstrom, 2010), and hence ultimately contributes positively to society. Moreover, knowing the specific OFDI support organizations and measures China is currently adopting can serve as a helpful orientation for Chinese entrepreneurs who plan to invest in Germany.

With the development of integrated circuit and communication technology, digital secure communication has become a research hotspot. This paper aims to design a five-dimensional fractional-order chaotic secure communication circuit with sliding mode synchronous based on microcontroller (MCU).

First, a five-dimensional fractional-order chaotic system for encryption is constructed. The approximate numerical solution of fractional-order chaotic system is calculated by Adomian decomposition method, and the phase diagram is obtained. Then, combined with the complexity and 0–1 test algorithm, the parameters of fractional-order chaotic system for encryption are selected. In addition, a sliding mode controller based on the new reaching law is constructed, and its stability is proved. The chaotic system can be synchronized in a short time by using sliding mode control synchronization.

The electronic circuit is implemented to verify the feasibility and effectiveness of the designed scheme.

It is feasible to realize fractional-order chaotic secure communication using MCU, and further reducing the synchronization error is the focus of future work.

This study aims to test the effects of enterprise risk management (ERM) on firms’ outcomes and the moderating role of knowledge management (KM) on ERM–firms’ outcomes relationship.

Data were collected via a questionnaire survey among public listed companies on the principal stock exchange market in Malaysia. A total of 124 questionnaires were received by mail questionnaire. The results were examined through structural equation modelling and partial least squares.

The outcomes specified that ERM has a positive and noteworthy influence on firms’ outcomes, and KM has a moderating influence on the correlation among ERM and firms’ outcomes.

The qualities, procedures and laws of the Malaysian corporations chosen as the sample firms, as well as their regulations, may not be representative of all other countries. Moreover, this study considered only one variable as a moderator, while there are many variables that different studies can consider as moderator or mediators.

The results of this research imply that employees’ awareness and knowledge of events, opportunities and risk, along with their engagement in the institute’s strategy, are critical for risk management and controlling. For the managers, the results of this research can be helpful to their businesses by identifying the effective KM capability that may enhance their positive outcomes. Managers and organizations can use KM as an instrument to increase ERM effect on firms’ outcomes.

KM and ERM are both significant intangible resources that are hard to imitate and are uniquely specified programs, which are important contributors to firm success in the long run. Moreover, the contingency theory of ERM was proved through the results of this study as it was identified in the public companies, that implementation of ERM as a strategic management practice, by organizations along with an effective KM may enhance the achievement of objectives and outcomes.

This study helps to measure ERM comprehensively and how intangible assets such as KM can affect the comprehensive risk management process and its effectiveness.

The purpose of this study is to present a complete framework that defines the link between choices and decision criteria based on existing research on digital influencers (DIs) connected to consumer purchase intentions. The primary goal of this article is to assess the effect of DIs on customer purchase intentions via the creation of an integrated knowledge-based system (KBS).

The suggested KBS is based on the fuzzy analytic hierarchy process (AHP), which creates a link between DI elements and their overall effect on consumer purchase intentions.

With the help of a KBS, the performance of DIs may be evaluated. It demonstrates the link between choices connected to factors and decision criteria of various variables, demonstrating the beneficial effect of DIs in molding customer purchase intentions in the organic skincare industry.

The proposed KBS would aid marketing managers and decision makers in assessing the effect of DIs on customer purchase intentions. This research would also give decision makers with extensive information on influencer marketing and crucial elements that have a significant effect on customer purchase intentions.

This is the first research to employ the fuzzy AHP methodology and KBS in relation to influencers' effect. No prior research has targeted the organic skincare industry to assess the effect of Internet influencers on consumer purchase intentions. Furthermore, the KBS offers a holistic and complete way to studying influencers' effect on cost per impression (CPI) by establishing a linkage between choices and decision criteria.

This paper aims at assessing the role of authenticity of local food in contributing to tourism as an ecosystem service in a small mountain tourism destination, i.e. Alagna Valsesia (North-West of Italy).

A mix method approach has been adopted. The research has been carried out by using both CAWI (Computer Assisted Web Interview) and PAPI (Paper And Pen Interview) methodologies for surveys on the accommodation facilities managers and tourists. In addition, an analysis of electronic word-of-mouth platforms (TripAdvisor and Google) was implemented to understand more in-depth the local foodservice.

Findings show that Alagna Valsesia embodies its authenticity with the tradition of the local culture, characterised by natural heritage and Walser uses. Some tools are identified to improve the attractiveness of the tourist destination.

The main limitation of this study can be found in the study' application to a rather limited and geographically restricted area.

The results provided by this study can help local policy-makers in driving local policies and public funds in implementing ecotourism based practices.

Although the role of local food has been much studied in relation to the tourism sector, to the knowledge of the authors, this contribution represents a first attempt to analyse local food's role in terms of local food's crossover contribution to supporting cultural tourism.

This study examines intrinsic motivations and antecedents that affect millennial mobile impulsive shopping in markets with the technology acceptance model (TAM) during the COVID-19 pandemic.

The study has been conducted by collecting data from 367 regular mobile shopping millennials, which was analyzed by structural equation modeling.

The findings reported that the perceived ease of use correlates positively with perceived usefulness. Similarly, perceived ease of use, usefulness, perceived utilitarian value and hedonic value significantly impacts shoppers' trust and attitude toward impulsive mobile shopping. Perceived trust was found to exhibit a positive association with mobile shopping. Finally, perceived usefulness, ease of use, utilitarian value, hedonic value, trust and attitude significantly positively impacted millennials' impulsive mobile shopping.

This study's results will help e-retailers establish novel techniques and efforts to enhance market volume and build solid connections with mobile customers by ensuring secure purchase habits. The results would also help companies develop customer satisfaction-focused business strategies.

This study contributes to the body of literature by finding a significant impact of attitude, trust and shopping values on impulsive mobile shopping. These constructs have not been explored as factors impacting mobile impulsive shopping, especially when it comes to a pandemic.

Floods are among the most frequent urban disasters in cities of the global south where capacity and resource limitations collude with rapid urbanization to force many poor people to live in flood prone settlements. This paper investigated the impact of flood disasters on social resilience of low-income communities in Mzuzu City, Malawi.

Using a quantitative design, 345 households were interviewed in Zolozolo West and Mzilawaingwe Wards in Mzuzu City. The survey instrument achieved a 100% response rate. A reliability test using Cronbach’s alpha showed internal consistency of survey instrument at 0.711 for Zolozolo West Ward and 0.730 for Mzilawaingwe Ward.

Out of the eleven indicators of social resilience used in this study, six indicators showed no correlation with the outcome expectancy of social resilience. Of the five indicators that showed relationship with social resilience, only improvisation and inventiveness (r_s = 0.356, p = 0.000 at two-tailed, n = 213; r_s = 0.610, p = 0.000 at two-tailed, n = 132) had a strong relationship with the outcome expectancy of social resilience.

The study was only conducted in two settlements; caution should be observed when generalizing the results.

Practitioners should ensure that social resilience strengthening mechanisms are incorporated in flood risk management as they strive to achieve SDG 11 of making cities inclusive, safe, resilient and sustainable.

The study showed how floods can negatively impact the social resilience of low-income communities, which is different from common knowledge that floods can enhance community social resilience.

Firms are increasingly pressured to comply with mandatory supply chain transparency (SCT) regulations. Drawing on information processing theory (IPT), this study aims to show how blockchain technology can address information uncertainty and equivocality in assuring regulatory compliance in an interorganizational network (ION).

IPT is applied in a single case study of an ION in the mining industry that aimed to implement blockchain to address mandatory SCT regulations. The authors build on a rich proprietary data set consisting of interviews and substantial secondary material from actors along the supply chain.

The case shows that blockchain creates equality between actors, enables compliance and enhances efficiency in an ION, reducing information uncertainty and equivocality arising from conflict minerals regulation. The system promotes engagement and data sharing between parties while protecting commercial sensitive information. The lack of central authority prevents larger partners from taking control. The system provides mineral provenance and a regulation-compliant record. System cost analysis shows that the system is efficient as it is inexpensive relative to volumes and values of metals transacted. Issues were identified related to collecting richer human rights data for assurance and compliance with due diligence regulations.

The authors provide some of the first evidence in the operations and supply chain management literature of the specific architecture, costs and limitations of using blockchain for SCT. Using an IPT lens in an ION setting, the authors demonstrate how blockchain-based systems can address two key IPT challenges: environmental uncertainty and equivocality.