Review on Blockchain Technology

Blockchain is a technology that has the potential to cause big changes in our corporate environment and will have a significant influence over the next few decades. It has the potential to alter our perception of business operations and revolutionise our economy. Blockchain is a decentralised and distributed ledger system that, since it cannot be tampered with or faked, attempts to assure transparency, data security, and integrity. Only a few studies have looked at the usage of Blockchain Technology in other contexts or sectors, with the majority of current Blockchain Technology research focusing on its use for cryptocurrencies like Bitcoin. Blockchain technology is more than simply bitcoin; it may be used in government, finance and banking, accounting, and business process managementAs a result, the goal of this study is to examine and investigate the advantages and drawbacks of Blockchain Technology for current and future applications. As a consequence, a large number of published studies were thoroughly assessed and analysed based on their contributions to the Blockchain body of knowledge. Keywords: Blockchain Technology, Bitcoin, Cryptocurrency, Digital currency

CHA: Categorical Hierarchy-based Attention for Next POI Recommendation

Next Point-of-interest (POI) recommendation is a key task in improving location-related customer experiences and business operations, but yet remains challenging due to the substantial diversity of human activities and the sparsity of the check-in records available. To address these challenges, we proposed to explore the category hierarchy knowledge graph of POIs via an attention mechanism to learn the robust representations of POIs even when there is insufficient data. We also proposed a spatial-temporal decay LSTM and a Discrete Fourier Series-based periodic attention to better facilitate the capturing of the personalized behavior pattern. Extensive experiments on two commonly adopted real-world location-based social networks (LBSNs) datasets proved that the inclusion of the aforementioned modules helps to boost the performance of next and next new POI recommendation tasks significantly. Specifically, our model in general outperforms other state-of-the-art methods by a large margin.

Impact of supply chain disruptions during the COVID-19 pandemic to micro, small and medium enterprises in Davao Region, Philippines

Purpose This paper aims to investigate the impact of supply chain disruptions on the operations and sales performance of micro, small and medium enterprises (MSMEs) and the adoption of “green” technology during the COVID-19 pandemic in Davao Region, Philippines. Design/methodology/approach A business impact survey was conducted among 113 MSMEs in Davao Region through the Regional Inclusive Innovation Center participated by the industry, government and the academe from October–December 2020. The impact of supply chain disruptions on the status of business operations was determined using ordered logit regression, while the impact on sales performance during the lockdown and new normal periods were modeled using logit regression. The technology upgrading plans of the MSMEs, including the adoption of “green” technology, were also determined. Findings This study found that the extent of disruption in processing the goods and services resulted in a negative impact on business operations, and the disruption of the availability of raw materials negatively affected the sales performance during the lockdown period. Moreover, around 20%–33% of MSMEs experiencing heavy supply chain disruptions had a plan to upgrade their business processes by adopting “green” technology. Research limitations/implications MSMEs need to establish strategic collaboration among the different stakeholders through public, private, non-government institutions and academe collaboration to enhance the capabilities of MSMEs in handling supply chain disruptions and pursuing technology upgrading. Originality/value This paper is among the early studies of the impact of COVID-19 to supply chains in the Philippines focusing on the MSMEs.

CULTURAL DISTORTION AND HARMONISATION ON INTERNATIONAL BUSINESS: THE PANACEA FOR SUCCESS

The purpose of this paper was to study and unravel the implications of cultural distortion on businesses, gains and gradual harmonization of culture across national boundaries globally. Despite the national and political boundaries around the world, the activities involving cross-border operations have always persisted, but have had a dramatic growth since the Second World War. Successful business operations globally depend largely on the understanding of the cultural differences of countries which enormously have the tendencies of affecting the degree of business relationship. It is very obvious that every institution across nations of the world is deeply attached to societies with diverse cultures such as language difference, different tradition of trust, individualists and collectivists tendencies which globalization concept intends to harmonise and be accepted by the local market around the world. As a consequence, it is very imperative to strive for gradual harmonization of culture. This however implies making suitable changes on the differences among national norms, traditions, values, beliefs and rituals of different nations in order to achieve uniformity. KEY WORDS: Culture, Cultural Distortion, Cultural Harmonization, Globalization

Impediments to Blockchain Adoption

Satoshi Nakamoto (2008) published a seminal paper on a promising digital currency application and proposed a distributed ledger technology (DLT) to support it. Shortly thereafter, in 2009, bitcoin and the customized DLT that supports it were established. Although the DLT described by Nakamoto (2008), which packages data into blocks that are then cryptographically chained together (i.e., "block chain", or "blockchain"), possesses features that are desirable for some business applications and/or their auditors, over a dozen years later there is not yet a widescale adoption of blockchain for business operations. This paper explores functionality, data and process integrity, and regulatory concerns as potential explanations for the lag in mainstream business and accounting adoption. We also contextualize some of the concerns that are likely to have delayed blockchain implementation by providing a framework of questions directed at both researchers and practitioners.

Anti-Corruption Campaign and Firm Financial Performance: Evidence From Vietnam Firms

Background Corruption affects businesses in various ways. Anti-corruption, on the other hand, can improve the institutions of the country as well as business operations. Vietnam, as a socialist-oriented country with an ongoing high-profile anti-corruption campaign, provides us a unique setting to evaluate the impacts of anti-corruption on corporate performance. Objectives We address two questions: (1) what is the effect of anti-corruption on the performance of private-owned firms in Vietnam? and (2) how does anti-corruption influence the performance of firms with state ownership (FSOs) in Vietnam? Research design To investigate the impact of anti-corruption on performance of firms with different ownership settings, we use the establishment of the Central Anti-Corruption Steering Committee of Vietnam as a quasi-natural experiment for difference-in-differences analysis. We generate treatment effects of private holding and the state block ownership. To validate the findings, we construct a novel news-based anti-corruption index from Vietnamese online newspapers and use it in a robustness test to evaluate anti-corruption’s impacts on firm performance. Results and Conclusions We find a positive impact of the anti-corruption campaign on private firms’ performance, supporting the social norm perspective of how corruption affects businesses. The empirical results indicate a negative impact of the campaign on FSOs’ performance. The findings suggest that anti-corruption benefits private firms via improving the institutional quality of the country while improving the financial transparency of FSOs. Our study provides a method for measuring anti-corruption which is virtually unobservable and absent in the literature. The findings have implications for policymaking in contemporary Vietnam.

The Impact of Digital Technologies on IT Sourcing Strategies in the German Automotive Industry

For decades, the German automotive industry has benefitted from a process of IT-enabled transformation with the ongoing deployment of state-of-the-art IT. Despite the high relevance of IT for innovation and process efficiency, the industry has outsourced up to 80% of the IT budget to external IT providers as IT has generally not been seen as a core competence. In recent years, the phenomenon of digital transformation has emerged, along with the consequent disruptive impacts associated with digital technology deployment. One area of significance in the corporate environment is the current and potential impact of digital transformation on future IT sourcing strategies. Through an analysis of existing literature and a series of in-depth interviews with industry experts, the chapter examines how and why the German automotive industry is reviewing IT sourcing strategies in response to the anticipated implications of digital transformation. A change in the ratio between outsourcing and insourcing has a significant impact on in-house employment and third-party business operations.

Strategic Behavior in Family Firms

Previous research emphasizes that the participation of the family in business operations is the source of resources and capabilities that conditions the strategic behavior of the family firm. This influence has been recognized as “familiness.” However, this definition is contextualized from static reasoning that ignores the effect of family dynamics on the behavior and value generation of the family-owned business. Prior literature has recognized that the family influence has a dynamic character based on the idiosyncratic process of knowledge management that manifests itself in the company, dynamic familiness. This family capability is shaped by family organizational routines through the family influence and aims to increase its knowledge portfolios for the strategic use of its resources. This chapter addresses the relationship between family influence and the process of learning and knowledge management. The analysis of this relationship allows assessing how family influence can promote the generation of family organizational routines based on knowledge management processes.

Big Data and Digital Analytics

Data becomes big data when then the size of data exceeds the ability of our IT systems in terms of 3Vs (volume, velocity, and variety). When the data sets are large and complex, it becomes a great difficult task for handling such voluminous data. This chapter will provide a detailed knowledge of the major concepts and components of big data and also the transformation of big data in to business operations. Collection and storage of big data will not help out in creation of business values. Values and importance are created once when the action starts on data by performing an analysis. Hence, this chapter provides a view on various kinds of analysis that can be done with big data and also the differences between traditional analytics and big data analytics. The transformation of digital data into business values could be in terms of reports, research analyses, recommendations, predictions, and optimizations. In addition to the concept of big data, this chapter discuss about the basic concepts of digital analytics, methods, and techniques for digital analysis.

An Artificial Neural Network Examination Of The Intention To Implement Blockchain In The Supply Chains Of SMEs In Tonga

The research intends to examine the impacts of the technology, organization, and environmental factors on the implementation of blockchain in the supply chains of SMEs in the Kingdom of Tonga. These include regulatory support, competitive pressure, cost, upper management support, complexity, and relative advantage. The research uses SEM-PLS to test the hypotheses and the Artificial Neural Network method to analyze and classify survey data from 201 SMEs. Findings show that relative advantage, cost, complexity, and competitive pressure significantly affect implementing blockchain in the supply chains. As SMEs frequently have limited capital to invest in technology but meets the same obligations to streamline business operations to optimize profits, blockchain provides a feasible choice for the firms’ sustainability with its characteristics of security, transparency, and immutability that are prospective to develop SMEs’ performance. Thus, the paper provides novel insight regarding the determinants of SMEs' intention to implement blockchain in their supply chains.