Understand China’s cross-border e-commerce industry: a market entry mode

Cross-border e-commerce is emerging explosively globally while China as the world’s largest trading country is gradually shifted its traditional trading market to the online marketplace to fit new retail norms of buying online across borders. The supply-demand dynamism and infrastructure readiness are two key drivers governing the exponential growth; however, multiples factors including cultural differences in consumer behaviour, unstructured laws and regulation, the inefficiency of transformed value chain management, limitation on currency payment, and distancing logistics remain unsolved challenges. Hence, this paper aims to deliver some key takeaways for the foreign company to take advantage of cross-border e-commerce as the channel to entering China’s consumer market. Using a combination of various keywords as the searching formula, a total of 17 relevant papers exacted from the Scopus database is in inclusion for the reviewing works. Only the journal paper published in the year 2021 and the content is highly relevant are included. From there, four predominant themes identify are the national-based regulatory environment, market-driven value creation, service-based ecosystem reformation, and digitally drive business transformation. Viewing the huge market potential, cross-border e-commerce is, therefore, a good start points for the foreign company to step into China market.

Weed detection using machine learning: A systematic literature review

Recently, many researchers and practitioners used Machine Learning (ML) algorithms in digital agriculture to help farmers in decision making. This study aims to identify, assess and synthesize research papers that applied ML algorithms in weed detection using the Systematic Literature Review (SLR) Protocol. Based on our defined search string, we retrieved a total of 439 research papers from three electronic databases, of which 20 papers were selected based on the selection criteria and thus, were synthesized and analyzed in detail. The most applied ML algorithm is Neural Networks in these models. Thirteen evaluation parameters were identified, of which accuracy is the most used parameter. 75% of the selected papers used cross-validation as the evaluation approaches, while the rest used holdout. The challenges most encountered were insufficient data and manual labeling of the pixel during image segmentation. Based on the ML algorithms identified, we concluded that supervised learning techniques are the most used techniques in weed detection.

Empowering Heutagogy for 21st Century Learning

Heutagogy a term which describes self-determined learning with principles deeply engrained in andragogy has recently gained popularity as a learning technique due to limited attention for a period of time. The core principle of heutagogical teaching and learning technique is to encourage learners to be self-determined and is grounded upon the development of learner’s individual capability with the primary goal of grooming learners to gracefully survive the complexities of the rapidly globalizing economies. The renewed attention towards heutagogy is partly due to the advancement of technology. With the learner-centric design, technological advancement greatly supports the heutagogical approach by sustaining the expansion of learner generated subject. Therefore, this article collates crucial commentaries and opinions from various scholars in the field. This article is built grounded on various relevant literatures and thoroughly defines the intriguing concept of heutagogy and andragogy to a certain extent. This article offers a foundation for further discussions and impactful research into heutagogy as an emerging learning technique and a theory which would revolutionize the education system while nurturing life-long and mature learners who are academically and professionally prepared for the rapidly globalizing economy.

Latency-aware Straggler Mitigation Strategy in Hadoop MapReduce Framework: A Review

Processing huge and complex data to obtain useful information is challenging, even though several big data processing frameworks have been proposed and further enhanced. One of the prominent big data processing frameworks is MapReduce. The main concept of MapReduce framework relies on distributed and parallel processing. However, MapReduce framework is facing serious performance degradations due to the slow execution of certain tasks type called stragglers. Failing to handle stragglers causes delay and affects the overall job execution time. Meanwhile, several straggler reduction techniques have been proposed to improve the MapReduce performance. This study provides a comprehensive and qualitative review of the different existing straggler mitigation solutions. In addition, a taxonomy of the available straggler mitigation solutions is presented. Critical research issues and future research directions are identified and discussed to guide researchers and scholars

Implementation of industry 4.0 to achieve sustainable manufacturing in steel industry: a case study

Sustainable manufacturing has been a popular topic of research for quite some time now. There are various concepts and ideas which have claimed to have a significant impact on sustainability of the manufacturing industry like lean, green and agile manufacturing. Industry 4.0 is the latest and by far the one with the maximum potential of changing the manufacturing sector forever. It is rightly called as “the fourth industrial revolution”. It is a wide concept which covers many state of the art technologies like the Internet of Things (IoT), Artificial Intelligence, Big Data, Augmented reality etc. But like every big revolution, it is to face many challenges also. In this review, we are looking at this ‘yet in infancy’ concept and its role in achieving a sustainable manufacturing sector as discussed by researchers. Different scholars have come up with different challenges to implementation of I4.0 which they thought to be of some significance. There is going to review such challenges making a list of 13 such challenges. Then, it also throw some light on the new challenge faced by all of humanity in the form of SARS-CoV-2 pandemic and how it is affecting the manufacturing sector.

God’s own tourism: creating socio-economic, cultural, and environmental sustainability in tourism industries in Kerala

Worldwide governments have recognized tourism as a sector with immense potential for economic development and employment generation. Various international agencies like World Tourism Organization (WTO) have pointed out the vast developmental potential of tourism, particularly regarding the developing nations like India. Despite the wide recognition of the vast developmental potential of tourism, there are growing apprehensions regarding the sustainability of tourism as a development paradigm. The development of tourism induces changes in the social character of a destination. These transformations include the impact of tourism development and its economic efficiency on inhabitants’ traditional values, lifestyles, and interpersonal relationships.

Development of green technology from the past to the future development: a systematic literature review paper

In the era of globalization today, Green technology acceptance has become a crucial sector not just for the environment, but also for humans and towards the economy. In this paper, the researcher will do the overview of Green Technology Acceptance as overall, means in many areas such as green transportation, green chemistry, green buildings, green procurements and few more. So, for this purpose the researcher choose to use the Scopus database to review on the past published studies on green technology fields. For this purpose, the Qualitative review has been done by the systematic review through the PRISMA Framework (Preferred Reporting Items for Systematic Review and Meta-Analysis). There are around 46 papers that had been selected in finals for this systematic literature review analysis. After follow the PRISMA Model to filter out the paper that suitable for this study, researcher is using the Microsoft Excels to do the descriptive analysis on year base publication, journal base, most cited by, theory utilised and subject areas. Besides that, researcher also focus on the methodology classification that had been use in the past studies. There are three main classifications which is Quantitative, Qualitative and Mixed Methods. There are around 26 paper used quantitative analysis method, 17 papers utilised qualitative method and 3 papers using mixed method. Mostly all this past study not including the latest branches of Green Technology such as green economies, green building and many more. As overall, researcher successfully using the PRISMA model to identified the suitable paper that being used in this papers.

It takes two to tango: phenomenologizing relational roles of academic deans and program chairs in the Philippines

Managing academic affairs encompasses overwhelming array of tasks. Cognizant of the interesting and challenging position occupied by the deans and program chairs, this paper shed some light to help illuminate the way our academic leaders manage relationship in the university. The purpose of this phenomenological study was to explore the lived experiences of academic deans and program chairs of Quirino State University, Cabarroguis, Campus as they manage relationships in their institution. Further, it described the typical roles they portray as leaders and managers in their organization. Driven by the questions, “How is your relationship with the administrators, subordinates and students? How do you encourage collaboration with and among your subordinates? In what ways do you manage relationship with yourself, with your subordinates, and with your superiors? , a series of in-depth, semi-structured interviews were conducted. Further, four interesting themes emerged on the roles portrayed by academic leaders namely: a) people-centered leader, b) value-driven leader, c) goal-driven leader, and d) power-centered leader. However, the emerged roles revealed by the deans and program chairs invite for a more empirical study to measure its universality across a more collective participants.

Study on the effect of internal marketing on service quality: Systematic Literature Review

The purpose of this paper is to synthesize the fragmented literature on effect of internal marketing on service quality, thereby broadening the literature breath and making gap identification comprehensive. Additionally, the paper also provides more insight of the concept of internal marketing, identifying aspects of it which has the most significant impact on service quality. The methodology of the research is based on systematic literature review which enabled to collect the relevant data pool to the research through PRISMA approach using existing literature. Main findings of the data revealed that internal marketing possesses a positive impact by 76% on service quality, where most significant factor contributing a positive impact being motivation and reward system. Furthermore, the marketing mix elements of internal marketing is also shown to enhance the quality of service. The research results also identified limitations revealing the gaps in the existing literature in terms of the topic. These gaps are recommended areas which can be further explored to enrich the academia. Moreover, the practical implications of the paper can benefit the world of business to embrace the concept of internal marketing to enhance the competitive edge through employees, a major asset of organizations.

A systematic review of investment opportunity set and dividend policy

There are numerous factors that affects corporate dividend policy and investment opportunity set is among one of the significant factors. Investor are interested to make investments in those firms, which provide benefit and prosperity to shareholders and investors. As investors expect return on investment in the form of dividends. The present study aimed to overview the overall literature published on the relationship of investment opportunity set and dividend policy. For this purpose, articles are selected from the literature published on Scopus and Google Scholar databases. The research methodology adopted the stepwise screening procedure of the PRISMA guidelines and final 28 studies are included for the systematic literature review. After critically analyzing the selected studies, the findings suggests that investment opportunity set is a factor that significantly effect dividend policy. Moreover, the result demonstrates that the interest in the topic of investment opportunity set and its influence on dividend policy is growing. Furthermore, the trend of researchers and academicians to publish their research work is more towards journals-based articles rather than conference articles.