Business Reference Research Articles

The Impact of Corporate Cultural Factors on Organizational Commitment at Tasco Corporation

Purpose: The purpose of this article is to analyze the cultural factors within a business that impact the organizational commitment of employees at Tasco Corporation, thereby proposing solutions to enhance their commitment to the company. Design/methodology/approach: Secondary data was collected from relevant materials on key themes: factors of corporate cultural influencing organizational commitment. A questionnaire were used for gathering primary information from employees at Tasco Corporation. The survey was conducted from August 2023 to December 2023. The questionnaire was designed based on the previous research findings, surveying 290 samples to identify the factors and levels of influence of corporate culture on employee organizational commitment at Tasco Corporation. Findings: There were five factors influencing employees’ organizational commitment at Tasco Corporation: Organizational communication, Training and development, Compensation and recognition, Empowerment, Risk-taking and innovation acceptance. Research, Practical & Social implications: Our findings could be used as a valuable reference for businesses to increase employee commitment to the organization. Originality/value: There have been numerous studies on the influence of corporate culture on employees’ organizational commitment. However, there was not any research has been conducted at Tasco Corporation. Therefore, we decided to undertake the topic of the article: "The Impact of Corporate Cultural Factors on Organizational Commitment at Tasco Corporation."

Impact of Innovations on SME Performance in Ho Chi Minh City (Vietnam)

This study aims to refine the broad idea of innovation by focusing on four specific types: product innovation, organizational innovation, process innovation, and R&D. These four categories will be used to measure the extent of innovation. The statistical model is used to examine the association between such innovations and business performance. The model is based on a sample size of 7,788 enterprises, with data provided by the Vietnamese General Statistics Offices. The findings validate the presence of product innovation, organizational innovation, and R&D as factors influencing SME success. Among these factors, organizational innovation has the highest influence, followed by product innovation and R&D. The causal link between process innovation and SME performance remains unestablished, as SMEs, comprising 95% or more of the market, primarily allocate their investments towards organizational innovation, product or service innovation, and R&D. This discovery serves as a valuable point of reference for both businesses and policymakers. It highlights the importance of considering potential forms of support for SMEs in order to foster innovation and achieve success.

Neither more nor less: understanding positive emotion of posts and user engagement on tourism social media

ABSTRACT This study investigates how positive emotion in tourism social media posts influences tourists’ user engagement and its underlying mechanisms. Utilizing real-world data from Ctrip travel platform, our research adopts a multi-method approach encompassing archival analysis, survey, and experimental methods to provide robust evidence supporting the role of positive emotion in the tourism posts. Findings suggest a diminishing effect of positive emotion on user engagement. Drawing upon emotions as social information theory, we identify two contrasting mediating pathways: users’ positive affect and perceived persuasive motive. Importantly, mediators exert differential effects at varying levels of emotional expression, collectively contributing to an inverted U-shaped relationship between emotional expression and user engagement. The conclusions offer strategic insights into the emotional expression tactics employed by self-media users when posting, while also serving as a reference for businesses aiming to enhance higher engagement levels among potential tourists.

Applying Stimulus–Organism–Response Theory to Explore the Effects of Augmented Reality on Consumer Purchase Intention for Teenage Fashion Hair Dyes

The application of augmented reality (AR) in the beauty and hairdressing industry provides customers with a rich experience, especially in terms of virtual hair styling. Through virtual hair color tests, customers can quickly decide on the most suitable hair dye for them. Teenagers use multimedia communication channels to distinctively express their enjoyment of and aesthetic experiences with the interactive, emotional, and spatial aspects of AR. They can also preview diverse hair dyes and hairstyles in a virtual environment and, ultimately, select the option that suits them the most. This study applied the Stimulus–Organism–Response (S–O–R) theoretical framework and collected 337 valid samples through a SmartPLS-4-supported questionnaire survey for analysis. The results revealed that spatiality significantly influenced behavioral intention in the context of aesthetic experiences, whereas interactivity significantly influenced behavioral intention in the context of entertainment experiences. Overall, the hair dye consumption behavior of Taiwanese teenagers was positively influenced by spatiality and interactivity, and the overall model was well structured. The findings of this study can serve as a reference for businesses to develop innovative technology products that enhance consumer marketing experiences and can contribute to the future development of the hair dye segment of the fashion industry.

The influence of anchor burnout mood on consumers’ consumption psychology and behavior

This study investigated the effects of anchor burnout on consumer consumption psychology and behavior. Through the questionnaire survey, we found that anchor burnout had a significant impact on consumers’ purchase intention, purchase amount, satisfaction and loyalty. The experimental results show that the more serious the anchor burnout mood, the lower the purchase intention and purchase quantity of consumers and the lower the satisfaction and loyalty. These findings contribute to understanding the impact of anchor emotions on consumer behavior and provide useful reference for relevant businesses and researchers. The results of this study have certain guiding significance for understanding the influence of anchor emotions on consumer behavior and formulating corresponding marketing strategies.

Evaluating the performance of ChatGPT and Perplexity AI in Business Reference

The Thomas Mahaffey Jr. Business Library conducted a study to assess the performance of two competing generative AI products, ChatGPT and Perplexity AI, in answering business reference questions. The study used a data set consisting of a sample of anonymized reference questions submitted through the library’s ServiceNow ticketing system between January 2018 and May 2022. The questions were input as prompts to each competing AI. Responses were collected and evaluated by their performance in four separate dimensions relevant to business reference: accessibility, library referral, quality, and serendipity. Each dimension was scored on a 0-5 Likert scale resulting in a final composite performance score for each AI. Results showed similar and underwhelming performance between each AI at the composite level. Analysis of scores in each individual scoring dimension showed greater variance in the score distributions between the competing AI. Through the evaluation process, key strengths, weaknesses, and trends emerged between each AI. The study provides a quantitative measure of where generative AI stands in its capabilities in a business library reference context, and it recommends, based on the results of the evaluation, making use of generative AI in its current iteration as a supplementary tool for business reference as opposed to considering it as a replacement.

The influence of host characteristics on impulsive online purchases by consumers: Examining the effects of flow experience and independent self-construal

Purpose: The professional integrity of e-commerce livestream hosts is crucial, as they function as intermediaries connecting businesses and consumers. The research investigates how the characteristics of e-commerce livestream hosts influence the mechanisms behind consumers’ impulsive motivations for online purchases. The goal is to propose targeted managerial insights for the e-commerce livestreaming sector, fostering robust and sustainable growth. Design/Methodology/Approach: The research targets Chinese consumers engaged in online livestream shopping, utilising a quantitative research methodology through a questionnaire survey. Data was collected through the dissemination of online questionnaires on e-commerce platforms, resulting in 683 valid sample responses collected between July and August 2023. Findings: Analyzing the data reveals that anchor characteristics positively impact consumers’ impulsive online purchases and, concurrently, positively influence the consumers’ level of flow experience. Conversely, the consumers’ flow experience level positively impacts their impulsive online purchases, with the flow experience serving as a partial mediator. Additionally, the independent self-concept moderates the process where anchor characteristics positively influence consumers’ tendencies for impulsive online purchases, augmenting its effectiveness. Conclusion: Anchor characteristics directly impact consumers’ impulsive online purchases and can also indirectly boost consumers’ impulsive online purchases by enhancing their flow experience. Practical Implications: The present study explores which e-commerce livestream hosts impact consumers’ impulsive online purchasing behaviours, offering insights for future research. Additionally, by exploring the impact factors of e-commerce livestream hosts’ characteristics on consumers’ impulsive online purchasing behaviours, this research provides theoretical suggestions for livestream hosts, offers guidance for consumers, and serves as a reference for businesses to enhance their livestreaming strategies.

Applying TOPSIS to selecting business accounting software: A case study at Truong Son Technology Development Investment Joint Stock Company

This study aimed to build a model and set of criteria to evaluate and select business accounting software providers for Truong Son Technology Investment and Development Joint Stock Company. The study helped choose the most suitable supplier that meets the criteria that the company desired. The research proposed the Technique of Order Preference Similarity to the Ideal Solution (TOPSIS) model and was also applied in the case of selecting accounting software suppliers for Truong Son Technology Investment and Development Joint Stock Company. There were 5 business accounting software packages considered: Misa business accounting software, Bravo accounting software, FAST Accounting software, Effect accounting software, and Gamma accounting software. The ranking results of accounting software providers at Truong Son Technology Investment and Development Joint Stock Company were as follows: A1 (Misa Business Accounting Software) was the best supplier, second-ranking was A3 (FAST Accounting software), followed by A2 (Bravo Accounting Software) in third place. The findings of this study could be used as a valuable reference for businesses to choose the best supplier.

How Loyal are You? Factors Influencing Consumer Brand Loyalty among Smartphone Users in Malaysia

Smartphones have become a vital aspect of people every day. The technology development enables people to contact with one another from anywhere at any time. In competitive market, the variety of smartphones cause companies are challenging to retain brand loyalty. This study wants to identify the factor that influence brand loyalty among smartphone users. Brand reputation, brand competence, price, advertising, brand image, and design are all under investigation. This study’s sample consisted of students from the Universiti of Utara Malaysia. 400 questionnaires were distributing to respondents, with 390 collected and usable. The entire dataset was analyzed using SPSS to assess the correlation and regression effect of each variable. The study discovered that brand reputation, brand competence, price, advertising, brand image, and design has strong correlation with brand loyalty. Regression analysis also indicate that brand competence is the most critical factor impacting brand loyalty. The findings serve as a reference for businesses to develop the best plan for maintaining brand loyalty.

Analysis of Walmart's Marketing Strategy Based on STP Theory

Walmart is a retail industry leader, and its growth and success have given the company a measure of reference significance. Analyzing the retail industry's current market condition, resolving the challenge, and providing strategic reference for other businesses may all be accomplished by studying Walmart's approach to marketing. This study examines the following aspects of Walmart's marketing strategy through literature review and analysis method: market segmentation, market target, and market positioning, with an eye on the theory underlying each of them. The research concluded that Walmart used population, geography, and the purchasing power of different consumer groups to divide the market into distinct segments, and that the company used both a generic marketing strategy and a more targeted marketing strategy to meet customer demand for its low prices and convenient locations. Walmart has made tactical tweaks to the aforementioned marketing methods to account for the ever-shifting nature of the market. In order to pursue the sustainable development of businesses, the paper adopts a more complex and humanized segmentation principle, modifies the market target strategy and market positioning, and upgrades the positioning to energy conservation and environmental protection.

Modelling the Make Process of the Mineral Supply Chain Upstream Segment

The upstream segment of the minerals supply chain (MiSC) is the backbone for achieving the transition to clean energy by securing the supply of minerals. Recently, the MiSC has been disrupted, affecting mineral supply and generating uncertainty among clean energy producers. Supply chain (SC) mapping addresses this uncertainty, providing a holistic end-to-end view. However, MiSC mapping studies mainly focus on the downstream segment, leaving aside the upstream segment. In this context, the fundamental gap is the lack of standardized modelling frameworks that can accurately represent the upstream segment dynamics and, at the same time, seamlessly integrate with the downstream segment. This paper bridges this gap, designing a model for the MiSC upstream segment (MiSCOR). Framed within design science research methodology, MiSCOR is built by adapting two reference models, the Exploration and Mining Business Reference Model (EM) and the Supply Chain Operations Reference Model (SCOR), focusing on the commodity-making process. The MiSCOR demonstrates its applicability and robustness in real operational scenarios of one of the largest copper producers. MiSCOR provides a management tool for practitioners and decision-makers in the MISC’s upstream segment, offering blueprints to throw functional silos, foster collaboration, and a standardized framework that integrates seamlessly with the downstream segment.

Implementation of Green Economy at PT. Esprite Nomade

The green economy is becoming increasingly important in the context of an increasingly fragile global environment. Unfortunately, many businesses today do not fully understand the concept and practice of green economy, as evidenced by the data and facts regarding the low awareness of this environmental issue. However, one of the companies engaged in the manufacture of tents, PT Esprite Nomade in Indonesia has become an exception by implementing various aspects of the green economy in its business activities. The company has succeeded in presenting innovative tents that are easily removable, environmentally friendly, and reduce carbon footprint through various measures such as minimizing the use of heavy equipment, minimizing the use of hazardous chemicals, easily moved to a new location without destroying the building so that it can be reused and reducing waste that has a negative impact on the environment. The company has also successfully sold its products commercially and exported them overseas, thus making a positive contribution to the country's income. With the important role of green economy in future business, this research aims to analyze the implementation of green economy policies or procedures applied by PT Esprite. This is expected to be a reference for other businesses to adopt sustainable and environmentally friendly practices. This research uses a qualitative analysis approach to analyze data collected through interviews and direct observation at PT Esprite Nomade. Data obtained from relevant parties such as company management, production, and marketing teams are used to deeply understand the implementation of green economy in various aspects of the business which are then analyzed to explore patterns, themes, and challenges faced by PT Esprite in implementing green economy. This analysis will provide an understanding of the advantages and contributions made by PT Esprite in the field of green economy and sustainable business practices. The results of the research show that PT Esprite Nomade has successfully implemented green economy in the aspects of design, production, packaging, and recycling. This implementation proves that businesses can bring innovative and sustainable solutions to reduce negative impacts on the environment. The results of this study are relevant to Presidential Regulation No. 98 of 2021 concerning the Implementation of Carbon Economic Value for Achieving Nationally Determined Contribution Targets and Controlling Greenhouse Gas Emissions in National Development. Thus, the application of green economy in this tent company provides a real example and is relevant to the government's efforts in achieving nationally set environmental targets. This research is expected to inspire other businesses to pay attention to the importance of green economy and implement sustainable practices in their operations. Thus, businesses in Indonesia and around the world can positively contribute to efforts to maintain environmental sustainability and build sustainable business resilience.

Study on Carbon Emission Measurement and Influencing Factors for Prefabricated Buildings at the Materialization Stage Based on LCA

To conduct a more in-depth study on carbon emissions and influencing factors during the materialization stage of prefabricated buildings, this paper focused on a residential prefabricated building in Beijing. The LCA method, combined with BIM technology, was utilized to establish a process-based “LCA-BIM” carbon emission statistical platform and to propose a carbon emission calculation method. The carbon emissions during the materialization stage were calculated. The results revealed that the production of building materials contributed the highest proportion of carbon emissions, accounting for 85.73% of the total emissions during the materialization stage. Specifically, reinforcing steel and concrete dominated the overall carbon emissions from building materials, accounting for 97.44% of the total. Through a quantitative analysis in the process of carbon emissions calculation, the main factors influencing the carbon emissions during the production stage of building materials were identified. This study adopts a combined approach of empirical analysis and a literature review, establishing six basic hypotheses for four aspects: material selection, energy consumption, material storage, and carbon emissions in the production stage of building materials. A structural equation model was used to theoretically validate the influencing factors in the production stage of prefabricated building materials. SPSS27.0 and AMOS28 software were employed for data analysis. From the perspective of the overall impact, material selection had the strongest overall impact on the production stage of building materials, followed by energy consumption, while material storage had the smallest overall impact. From the perspective of direct impacts, energy consumption had the strongest direct impact on the carbon emissions in the production stage of the building materials. The findings of this study can provide a theoretical reference for national institutions and businesses for carbon emission evaluation and decision-making.

The Influence of Korean Celebrity as Brand Ambassador for Indonesian Skincare on Consumer Purchasing Intention

Companies in the beauty sector employ a variety of strategies to draw clients and achieve a competitive edge. In Indonesia, there has been a phenomenon of several notable local skincare brands using Korean celebrities as their brand ambassador and gaining a lot of attention. The goal of the research was to investigate how Indonesian skincare brand images are impacted by Korean celebrities as brand ambassadors and how it affects Indonesian consumer purchasing intention. This report ought to serve as a reference for businesses looking to maximize endorsements through smart branding. Quantitative method was used and Indonesian customers were surveyed. Purchase intention, brand ambassadors, and brand image are utilized as the independent and dependent variables, and are employed as the main data sources. The research's findings have revealed that Korean celebrities could have an 80.7% brand image effect on Indonesian consumers' propensity to buy, a perceived brand image impact of 24.5% on the willingness of consumers to buy, and an overall image of a brand effect of 23.4% when serving as ambassadors of a brand. Having these celebrities promote Indonesian skincare companies will boost sales and significantly impact Indonesian consumers' purchase intention. Given the study's small sample size and the fact that the majority of the participants were female adolescents and young adults, this result may be difficult to understand. Future studies should include more samples and a wider range of gender and vocations. The results of this study make it abundantly evident that Korean celebrities who represent a brand have a major impact on Indonesian customers' intentions to make purchases and perceptions of that brand. Having Korean celebrities advocate regional skincare enterprises will increase spending by consumers and influence Indonesian consumers' motivation to make a purchase.

Factors Affecting Gen Z Trend of ‘Standard Working’ in Vietnam

Purpose: The purpose of this article is to determine the extent of influence on Gen Z tendency to “work moderately” in Vietnam, which has practical significance to help business managers plan their human resource management your business is better. Design/methodology/approach: The study collects secondary data from relevant documents on the main topics: the trend of “work moderately”, factors affecting the trend of “work moderately” of Gen Z. The documents are compiled mainly from the 2-year period from 2020 to 2022 from domestic and international sources. The study collects primary information through the construction of a questionnaire for the subjects of Gen Z who are of working age. Surveys are given on facebook groups. The survey was conducted from February 2023 to March 2023. This study used a questionnaire designed from the development of previous research results, surveying 223 samples to identify factors and levels. influence on the “work moderately” trend of Gen Z in Vietnam. Findings: The results of the regression analysis show that there are 6 factors that affect the “work moderately” trend of gen Z in descending order: Promotion opportunities (TT), Salary and bonus policy (LT), Working environment (LV), Nature of work (CV), Leadership support (LD) and Remuneration (DN). Research, Practical & Social implications: The research results can become a reference for businesses to have solutions to reduce the work moderately trend of employees in general and of Gen Z in particular. Originality/value: Although there have not been any specific reports on this situation in Vietnam, businesses have gradually realized the lack of enthusiasm of employees. With the current situation, investigating and analyzing the factors that lead to the tendency to work in moderation in Gen Z is extremely necessary so that business managers can grasp employee psychology and standards. timely and appropriate solutions to prevent the encroachment of this work culture. From the above reasons, the research team decided to carry out the article topic: “Factors affecting the work moderately trend of Gen Z in Vietnam”.

Sikap Traveller terhadap Promosi Tiket.com: Perspektif Tri-Component Attitude Model

Marketing literacy has proven a lot that consumer attitudes influence their buying behavior. Therefore, research on consumer attitudes is one of the interesting studies. Marketers are competing to issue certain products or promos that can influence consumer attitudes. This study aims to examine the attitude of travelers in the perspective of the tri-component attitude model towards the Gledek price promo and the OTW promo issued by Tiket.com, specifically at the end of 2022. This study uses a qualitative approach where data is collected and analyzed using netnography methods. Researchers collected and analyzed relevant data posted by International Backpacker members on the Facebook platform in October-November 2022, namely 27 posts. The results showed that consumers gave a positive attitude towards the promo, both from a cognitive, affective, and conative perspective. The results of this research are expected to be a reference for companies, brands and small-scale businesses in creating promos that are of value to their consumers so as to influence their purchasing behavior. The results of this study also enrich previous research and are able to provide references for future researchers on similar topics.

Towards Customer Outcome Management in Smart Manufacturing

The outcome economy is a relatively new economic and business paradigm that promotes focusing on the effects that the use of provided products and services create for customers in their markets, rather than focusing on these products or services themselves from the providers’ perspective. This paradigm has been embraced in various fields of business but has not yet been fully integrated with the concept of smart industry. To fill this gap, in this vision paper we provide a framework that does make this integration, showing the full structure of customer outcome management in smart manufacturing, from both business and digital technology perspectives. In applying this structure, a feedback loop is created that spans the markets of provider and customer and supports data-driven product evolution, manufacturing, and delivery. We propose a business reference framework that can be used as a blueprint for designing practical scenarios. We show how integrated digital support for such a scenario can be realized using a well-structured combination of technologies from the fields of the internet of things, business intelligence and federated learning, blockchain, and business process management. We illustrate all of this with a visionary case study inspired by industrial practice in the automotive domain. In doing so, we provide both an academic basis for the integration of several currently dispersed research fields that need to be integrated to further smart manufacturing towards outcome management and a practical basis for the well-structured design and implementation of customer outcome management business cases in smart manufacturing.

Price Prediction of Bitcoin, Ethereum and XRP Based on the ARMA Model

The growing potential and high volatility of the cryptocurrency market attract a lot of interest from both businesses and investors. Even though the prices fluctuate, predicting with time serious models such as ARMA and ARIMA would still provide a useful reference for analyzing the market. Recent studies on machine learning methods including RNNs have made new progress in forecasting digital currencies. This study focuses on one of the traditional models ARMA to predict the time serious dataset from 2021-2022 of cryptocurrencies including Bitcoin, Ethereum and Ripple. To be specific, AIC and ADF tests are used to choose the optimal model and suitable dataset. According to the analysis, the ARMA model would be affected by the volatility of Bitcoin. However, the predictions are not precise enough but still a valuable reference for certain businesses and individual investors. More state-of-art machine learning models can be utilized in future study to enhance the performance. Overall, these results shed light on guiding further exploration of crypto currency price prediction.

Optimizing Learning organizations in the Digital Era in the Business Sector in Indonesia

The advancement of digital technology has brought significant changes to the business sector, creating new challenges and opportunities for organizationsThis paper aims to provide a comprehensive framework for optimizing Learning organizations in the Indonesian business sector. The study adopts a qualitative research design that involves a review of the existing literature on Learning organizations and a case study approach that involves interviews with selected businesses in Indonesia. The data collected through the interviews are analyzed using thematic analysis to identify the current Learning organizations practices and the challenges faced by businesses in optimizing their learning practices in the digital era. The findings of the study suggest that many businesses in Indonesia still rely on traditional methods of learning, which are often ineffective in the digital era. The study identifies several challenges that businesses face in optimizing their learning practices, including a lack of resources, technological barriers, and a lack of understanding of the importance of Learning organizations. Based on the analysis, a comprehensive framework for optimizing Learning organizations in the Indonesian business sector in the digital era is developed. The proposed framework consists of four key components, namely, leadership commitment, learning culture, learning systems, and learning outcomes. The study concludes that the proposed framework can serve as a reference for businesses in Indonesia to develop effective learning strategies and enhance their competitiveness in the digital era.

Research on the Causes of Goodwill Impairment Risk and Preventive Measures for Listed Companies-Taking Blue Sail Medical Co., Ltd. as an Example

In recent years, listed companies in China have created significant amounts of goodwill through mergers and acquisitions, which has resulted in a significant number of "mines" of goodwill in the A-share market. This has caused several issues, including a sharp decline in the performance of listed companies and turbulence in the stock market. Owing to the interdisciplinary nature of the medical device sector and the high entry hurdles for mid-to-high-end devices, many businesses opt to enter the market through mergers and acquisitions to increase their market share. Based on this, this paper examines Blue Sail Medical Co., Ltd. case from the perspectives of goodwill generation, subsequent measurement, and reasons for impairment, and proposes several useful countermeasures and recommendations to effectively reduce the negative effects of goodwill impairment in the medical device industry, to serve as a reference for businesses with issues before, during, and after M&A, and to offer more protection and warning to investors in the process.