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Since the opening of China (aka, reform and opening-up), a great number of rural residents have migrated to large cities in the past 40 years. Such a one-way population inflow to urban areas introduces nontrivial social conflicts between urban natives and migrant workers. This study aims to investigate the most discussed topics about migrant workers on Sina Weibo along with the corresponding sentiment divergence.

An exploratory-descriptive-explanatory research methodology is employed. The study explores the main topics on migrant workers discussed in social media via manual annotation. Subsequently, guided LDA, a semi-supervised topic modeling approach, is applied to describe the overall topical landscape. Finally, the authors verify their theoretical predictions with respect to the sentiment divergence pattern for each topic, using regression analysis.

The study identifies three most discussed topics on migrant workers, namely wage default, employment support and urban/rural development. The regression analysis reveals different diffusion patterns contingent on the nature of each topic. In particular, this study finds a positive association between urban/rural development and the sentiment divergence, while wage default exhibits an opposite relationship with sentiment divergence.

The authors combine unique characteristics of social media with well-established theories of social identity and framing, which are applied more to off-line contexts, to study a unique phenomenon of migrant workers in China. From a practical perspective, the results provide implications for the governance of urbanization-related social conflicts.

This study aims to investigate the mechanism of the misinformation spread based on the elaboration likelihood model and the effects of four factors – emotion, topic, authority and richness – on the depth, breadth and structural virality of misinformation spread.

The authors collected 2,514 misinformation microblogs and 142,006 reposts from Weibo, used deep learning methods to identify the emotions and topics of misinformation and extracted the structural characteristics of the spreading network using the network analysis method.

Results show that misinformation has a smaller spread size and breadth than true news but has a similar spread depth and structural virality. The differential influence of emotions on the structural characteristics of misinformation propagation was found: sadness can promote the breadth of misinformation spread, anger can promote depth and disgust can promote depth and structural virality. In addition, the international topic, the number of followers, images and videos can significantly and positively influence the misinformation's spread size, depth, breadth and structural virality.

The influencing factors of the structural characteristics of misinformation propagation are clarified, which is helpful for the detection and management of misinformation.

This conceptual paper aims to provide a further understanding of the impact of economic policy uncertainty (EPU), news framing and information overload on panic buying behavior during the COVID-19 pandemic.

Drawing on earlier research and news releases about the COVID-19 outbreak, this paper advances testable propositions based on the protection motivation theory and information processing theory.

This paper infers that the major shift in consumer decision-making towards panic buying is a result of high EPU. International reports have contributed to deepening this uncertainty, and the consequences of this EPU are expected to affect the economic recovery through 2022. Furthermore, the adoption of particular frames of the pandemic has played a key role in the dissemination of misinformation and fake news during the public health crisis and affected purchasing decisions. The study also infers that the perceived threat among consumers is driven by information overload as a source of mistrust towards economic and health information sources.

This paper addresses two theoretical gaps associated with consumer buying behaviour. First, it highlights the impact of EPU, as a macroeconomic indicator, on consumer buying behaviour. Second, this paper is an attempt to integrate theories from different disciplines to foster an adequate understanding of buying behavior during the COVID-19 outbreak period.

This paper aims to theoretically and empirically demonstrate the role played by business continuity management (BCM) to address risks such as trade conflicts and natural disasters. This paper also answers whether compliance with international standards such as the International Organization for Standardization (ISO) 22301 is adequate.

A case study of Chinese telecommunications giant Huawei is conducted to examine how a robust end-to-end BCM system has been established in two decades and in what way it has helped Huawei to efficiently maintain growth under pressure, such as being added to the “Entity List” and the pandemic.

Huawei case contributes to BCM theory in its approach to establishing the BCM system and its well-established BCM model. Huawei establishes and continually improves its BCM system by applying the Plan (establish), Do (implement and operate), Check (monitor and review) and Act (maintain and improve) cycle. Characterized as 4Ps: BCM policy, BCM process, incident management plan and business continuity plan, Huawei BCM system is shaped into a loop with end-to-end BCM process, covering all steps along its value chain – from suppliers and partners to Huawei itself and then on to its customers – with key initiatives for all domains such as R&D, procurement, manufacturing, logistics and global technical services. In practice, implementing international standards such as ISO 22301 enables Huawei to develop business continuity but not enough. Optimizing the BCM system is an ongoing effort, and BCM maturity is ever present: continually improving Huawei’s own BCM system and benchmarking against best practices available worldwide.

Apart from the case study, other methods such as counter-factual analysis can be used to further test whether Huawei’s BCM system is cost-effective. Another direction for future study is whether suggested BCM maturity levels should be supplemented into ISO 22301. In the digital age, how to use digitalization to ensure business continuity is a current issue not just for practitioners such as Huawei but also for researchers worldwide.

In practice, implementing international standards such as ISO 22301 enables Huawei to develop business continuity but not enough. Optimizing the BCM system is an ongoing effort, and BCM maturity is ever present: continually improving Huawei’s own BCM system and benchmarking against best practices available worldwide.

To the best of the authors’ knowledge, this is one of the first studies to focus on how an organization continually improves the suitability, adequacy and effectiveness of its BCM system, with special attention to standards compliance.

The purpose of this paper is to investigate factors influencing knowledge sharing on enterprise social network (ESN) use behaviour among academic staff in universities, using the unified theory of acceptance and use of technology (UTAUT) as the underlying research framework

A conceptual framework was created by extending the UTAUT by incorporating three additional factors, namely, feature value (FV), relationship expectancy (RE) and professional benefits. A quantitative approach based on the survey was used to collect data from 254 academic staff. Data were analysed using structural equation modelling.

The result indicated significant differences around factors influencing both consumptive and contributive usage patterns within ESNs. These factors suggest more contributive than consumptive use.

Future research should consider a longitudinal study focusing on the change in ESN use behaviour among academic staff and the fundamental aspects influencing this change.

This study extends the UTAUT model by incorporating three additional factors: FV, RE and professional benefits, to study ESN use behaviour in a higher education context. This study has significantly modified UTAUT to include the dynamic nature of ESN usage.

Known for its motto “All Ages, All Races, All Genders,” MAC cosmetics reflects the brand’s commitment to inclusivity and diversity. It has been at the forefront of promoting a wide range of skin tones, ethnicities and gender identities in the beauty industry. If you have ever wondered about the secret behind the success of this mega-brand in the beauty industry, this case study aims to provide a comprehensive overview of the company’s history from its early days to the present and discusses the factors that might build or ruin a brand. Moreover, players in the industry will need to adapt to changing consumer preferences, focus on sustainability and leverage digital technologies to remain relevant and capture market opportunities. Therefore, would it be wise for MAC cosmetics to take forward their expansion plans in India, and what is the motivation behind the expansion? Alternatively, would the implementation of a proactive strategy for product innovation, combined with a stronger presence, result in a more viable and sustainable proposition?

This study relies on online resources for data collection. The data was collected from the secondary sources in the month of November and December 2022. Moreover, the information provided in the case study was validated and supplemented via using different websites, including the company’s website and social media profiles.

The commitment shown and the roles played will have a lasting impact on the society. Additionally, student will be able to learn when and how to seize opportunities, as well as how to manage obstacles that will arise in their entrepreneurial journey. Through this case study, they will be able to learn a variety of business strategies that can be implemented in emerging markets. The conclusion of the study provides the obstacles and hurdles faced by the industry in expanding in the Indian market. The potential solutions were made through providing information for the students, academicians, entrepreneurs and others to compete in the Indian market situation.

This is a real-world case that provides the audience with first-hand experience to comprehend the event and apply their knowledge to form a conclusion and is also effective for decision-making in the dynamic environment of the present day. However, the authors provide a comprehensive overview of the company’s history from its early days to the present and discuss the factors that might build or ruin a brand.

This study aims to contribute to the field of computer systems for sustainability research. It proposes a framework for sustainability awareness using online social networks (OSNs) by analyzing major research streams of the current state of knowledge and different bibliometric variables, and identifies a future research agenda in the field.

The preferred reporting items for systematic review and meta-analysis (PRISMA) methodology, content analysis and bibliometric tools were employed to identify, select, collect, synthesize, analyze and evaluate all research published on sustainability awareness using OSNs to provide complete insight into this research area.

This study proposed a framework comprising four categories for sustainability awareness using OSNs. These four categories are: the key factors to success, analysis of existing tools, proposal of new methods, approaches and theoretical frameworks, and case examples. In addition, this study synthesized the future research challenges for each category of the proposed framework.

Fostering sustainability awareness and sustainable behavior using OSNs is a growing area of research that seeks cultural change in society to achieve sustainable development. Through OSNs, people can discover and become aware of the consequences of unsustainable practices and habits in society, and learn how to develop sustainable behavior.

The peer review history for this article is available at https://publons.com/publon/10.1108/OIR

The learning outcomes of this case study are as follows: to understand the concept of social commerce and how it is different from e-commerce business, to discuss the unique features of Meesho’s social commerce model, to understand concepts of entrepreneurship (e.g. addressing the gap through business, pivoting), to understand the dynamics of online grocery market and e-commerce market and to apply business strategy concepts to make recommendations.

This case study presents Meesho, an organization in social commerce in India. Meesho was founded by Indian Institute of Technology graduates Vidit Aatrey and Sanjeev Barnwal in the year 2015 to help the small business owners with online selling. It was initially launched as an app that connected local retailers to the customers. Owing to low customer interest and low profit margins, they pivoted the business to a reseller app that facilitated the individuals and small retailers to resell the wholesalers’ products (unbranded and long-tail products) to the customers on social media channels. However, the tough competition from other start-ups in social commerce and retail giants such as Amazon and Flipkart who targeted the same customers impacted their growth. After receiving a funding of US$300m, the founders were considering if they should enter the e-commerce market and directly compete with giants such as Amazon and Flipkart or extend the product line to the online groceries market and compete with dominant players such as BigBasket and Blinkit. Through this case study, the students could be provided an opportunity to evaluate a situation, apply the strategic management concepts and make a recommendation on the strategic plan.

The case study can be taught in the business and strategy courses at the graduate and postgraduate levels in business schools. It is also suitable for the entrepreneurship course with focus on e-commerce start-up and sustainability, which is also taught at the MBA level. This case study can also be used in executive development programs for abovementioned courses.

Teaching notes are available for educators only.

CSS 11: Strategy.

This study aims to demonstrate what myths of and about science are reproduced in this popular cultural work (movie – “Oppenheimer”). This is done by examining the unconscious hegemonic positions supported by the reproduction of stereotypical and mythical images of science.

Content/Text Analysis: The conceptual analysis of a cultural text – a film (“Oppenheimer”) – through a theoretical apparatus (B. Latour’s theory).

The film demonstrates its reproduction of three distinct elements. Firstly, it exhibits classic scientistic clichés pertaining to technoscience. Secondly, it highlights the replication of the individualized monomyth about the (super) hero, leading to the exclusion of the intricate conditions of technoscience’s existence. Lastly, the film aligns with the Californian ideology, as proposed by Barbrook.

The value of the text is twofold: (1) To show that the classical approaches of Bruno Latour are still relevant. (2) To show what hidden premises and myths about technoscience are being propagated through a work of pop culture (the film “Oppenheimer”) and, in effect, to show what kind of influence of cultural hegemony is at work here.