SMEs are the pillars on which most of the economies worldwide rest. Without the support of qualified technological innovation, it will be very difficult for SMEs’ performance to improve and impossible for them to reach their sustainability goals. Small businesses should therefore be encouraged to embrace the next technological frontier, Industry 4.0 (I4.0). The main purpose of this research is to understand the relationship between the implementation of Industry 4.0 technologies and sustainability goals, along with an analysis of how innovation characteristics make implementing I4.0 easier for small businesses. To answer the research questions and analyse the high complex data, this research performed a structural equation model by using AMOS software. The results indicated that technology innovation characteristics have a positive significant effect on I4.0 implementation and sustainability goals. However, effective implementation of I4.0 mediates between the relationship of innovation characteristics and sustainability goals, except observability. The implications of this research are that SMEs should develop effective I4.0, implement it, and build innovation characteristics to reach sustainability goals.

This paper investigates the various aspects of store image, which affect the impression and preferences of shoppers. It argues that the levels of customer preferences determine the influence of the setting of the store on its image. Studying customer perceptions on store image further enhances the knowledge of marketers; marketers can use this knowledge in acquiring more loyal customers and meeting their requirements in terms of store image. This study identifies the factors that are deemed to be the most important by customers and provides marketers with awareness regarding the psychological elements of customers that influence their perception of store image. A survey was conducted on customers in shopping malls to identify the effects of the principal factors of store image on customer perception. This study used path analysis as the principal analytical tool for conducting causal evaluations and investigated the significant effects of store image attributes (i.e., store atmosphere, music, merchandise quality, service, price, and convenience) on customer perceptions. Results indicated that the perceptions of customers integrate all of the cues and messages they have received and experienced in the store, in addition to their own perceptions of the importance of store image dimensions.This study investigates the effect of the significant factors of store image on customer perception in the Malaysian context.

This present study explores the effects of the apparel stores' environment on customers' behavior in Malaysia. In essence, the social association that the consumer relates to the experience of shopping depends on the environment of the store. Developing a store ambiance that is culturally significant for the shopper will help form the retailer's image and reputation. As such, a survey of shopping mall customers' attitude toward store ambience and its principal components were analyzed to identify the effect of the primary factors of store ambience on customer behavior. A questionnaire based on a five-item Likert scale, as well as random sampling, was employed for data collection. Data analysis was accomplished using SPSS software. The findings are in correlation with the objectives stated prior to the start of the research. Moreover, the results reflect the achievement of the current study in achieving the aims that are expected to be discovered. Regardless of nationality, the customers possess high level of knowledge, attitude, and opinions regarding the effects of the store atmosphere, music, and service on customers' behavior. The results show a positive and significant relationship between the store atmosphere, service, and music with customers' behavior, as the Pearson's coefficients show positive values (correlation-bivariate) and the p-values are less than 0.05 (regression analysis) respectively. Thus, this relationship matches the fundamental aims of this research. The findings provide sufficient information to the manager of the retail store regarding the importance of the store dimension and image from the perspective of customers. Retailers that fail to maintain the proper store image tend to lose customers and to diminish the corporate image of the company. The current study contributes to the retailers' understanding of the store image that meets customers' requirements and upholds the corporate identity.

Background: Limited data exist on the clinical outcomes of patients with coronavirus disease 2019 (COVID-19) presenting with ST-segment-elevation myocardial infarction (STEMI). Methods: This multicenter study, conducted in 6 centers in Iran, aimed to compare baseline clinical and procedural data between a case group, comprising STEMI patients with COVID-19, and a control group, comprising STEMI patients before the COVID-19 pandemic, and to determine in-hospital infarct-related artery thrombus grades and major adverse cardio-cerebrovascular events (MACCEs), defined as a composite of deaths from any cause (cardiovascular and noncardiovascular), nonfatal strokes, and stent thrombosis. Results: No significant differences were observed between the 2 groups regarding baseline characteristics. Primary percutaneous coronary intervention (PPCI) was performed in 72.9% of the cases and 98.5% of the controls (P=0.043), and primary coronary artery bypass grafting was performed in 6.2% of the cases and 1.4% of the controls (P=0.048). Successful PPCI procedures (final TIMI flow grade III) were significantly fewer in the case group (66.5% vs 93.5%; P=0.001). The baseline thrombus grade before wire crossing was not statistically significantly different between the 2 groups. The summation of thrombus grades IV and V was 75% in the case group and 82% in the control group (P=0.432). The rate of MACCEs was 14.5% and 2.1% in the case and control groups, respectively (P=0.002). Conclusion: In our study, the thrombus grade had no significant differences between the case and control groups; however, the in-hospital rates of the no-reflow phenomenon, periprocedural MI, mechanical complications, and MACCEs were statistically significantly higher in the case group.

The present study aimed to evaluate the impact of Technology on Marketing and Advertising by using structural equations modeling. To do this, 200 marketing and information technology (IT) experts participated in the study. They answered questionnaires regarding IT, marketing mix and advertising. For data analysis, structural equations modeling using SMARTPLS were used. The results showed that the effect of IT on marketing mix and advertising was positive and significant. The effect of marketing mix on advertising was positive and significant. The indirect effect of IT on advertising via marketing mix was therefore positive and significant. Totally, the results emphasized the effect of technology on marketing mix and advertising.