Search results

This study aims to analyze how ready a firm is to transform into Industry 4.0 using the Readiness Index (INDI 4.0) assessment. It also investigates the differences (before and after) of the program “Making Indonesia 4.0” in 2018 in socioeconomic and demographic aspects.

The INDI 4.0 assessment involved a self-evaluation by 622 companies across 13 industry sectors, subsequently verified by the Ministry of Industry. This study incorporates discussions with industry experts to enhance the interpretation of the analytical findings.

This study explores the interrelation among the components of INDI 4.0 across different levels, assessing the readiness of each sector for Industry 4.0. The findings reveal the diverse impact of implementing Industry 4.0 in Indonesia on socioeconomic and demographic aspects. Furthermore, the study proposes several policy recommendations for the Indonesian government’s consideration.

This study’s scope is confined to the industrial context of Indonesia, as the assessment components are tailored to the specific characteristics and culture of the country’s industry. Subsequent research endeavors can leverage this study as a foundational reference, adapting the components to align with the particular interests of other nations.

Businesses, especially those in Indonesia, can employ these findings to evaluate their position in the context of Industry 4.0 transformation compared to their industry. Simultaneously, the Indonesian government can use these results as a starting point to evaluate and potentially enhance their policies related to Industry 4.0. We recommend five policy proposals for the Indonesian government: diversifying measurement models, shifting terminology, emphasizing soft skills, promoting continuous learning and implementing Center of Digital Industry Indonesia 4.0 (PIDI 4.0) initiatives.

This study offers a broad impact of Industry 4.0 implementation in socioeconomic and demographic aspects in Indonesia, such as income, job-shifting, age, educational background and gender.

To the best of our knowledge, no prior research has explored the repercussions of industrial implementation on socioeconomic and demographic facets.

The purpose of this paper is to investigate whether there is any difference across individual investors, domestic and foreign institutional investors in trading volume responses to analyst reports. The authors also examine the determinants of trading volume responses using firm as well as forecast characteristics.

The authors use trading data from the Korean equity market. The authors divide investors into three classes of investors; namely, individual investors, domestic institutional investors, and foreign institutional investors. The authors then examine whether the trading responses to analyst reports vary across investor types, and how firm characteristics and characteristics of analyst reports influence the trading activities on the release dates across investor types.

Individual investors are the most responsive investor group, being responsive to analyst reports on small, neglected firms with large inside ownership as well as to analyst reports with optimistic forecasts. Domestic institutional investors are responsive to reports on neglected firms with high return volatility while foreign institutional investors show least responses.

There are few studies that investigate whether the trading responses to analyst reports vary across investor types and how firm characteristics and characteristics of analyst reports influence the trading activities on the release dates across investor types. Taking advantage of the trading volume data for the three main investor types in the Korean stock market, the authors study the trading volume responses for each investor type and make comparisons across investor types.

This paper aims to investigate the adoption barriers of Industry 4.0 in the Indonesian manufacturing supply chains.

The mixed method was deployed to validate the findings. First, the qualitative study was conducted based on the interviews. Then, the companies were approached using filter questions on the involvement in adopting industry 4.0 and its impact on the supply chain.

Based on the qualitative study, nine main barriers were found in the thematic analysis. Thus, to get a consensus on the barriers in the industry, the barrier indicators were tested using a structural equation model retrieved from 173 small and medium Indonesian manufacturing firms. Results indicate that five main barriers (e.g. unclear Industry 4.0 policy, higher-risk investment, insecure data sharing, lack of expertise and lack of incentive) are confirmed as the adoption barriers.

The successful adoption of supply chain integration with Industry 4.0 technology can strengthen the manufacturing sector and competitiveness. Therefore, this study can be a complimentary assessment to evaluate the Indonesia Industry 4.0 Readiness Index (INDI 4.0) and the effectiveness of the government support program.

The results can be used as the framework to foresee the successful implementation of smart manufacturing supply chain management and its integration. Therefore, the authors proposed the framework to foresee the successful implementation of smart manufacturing, supply chain management and integration.

The current crisis in the mortgage securitization industry highlights significant failures in our models of how markets work and our political will, organizational capability, and ideological desire to intervene in markets. This article shows that one of the main sources of failure has been the lack of a coherent understanding of how these markets came into existence, how tactics and strategies of the principal firms in these markets have evolved over time, and how we ended up with the economic collapse of the main firms. It seeks to provide some insight into these processes by compiling both historical and quantitative data on the emergence and spread of these tactics across the largest investment banks and their principal competitors from the mortgage origination industry. It ends by offering some policy proscriptions based on the analysis.

This chapter considers the commitment of gender equality at universities and how it is expressed and measured via a gender equality scorecard. The Gender Equality Scorecard is seen as an accountability measure that seeks to build awareness of the magnitude of the problem (if it exists), interpret the meaning of the (in)equities, and move to action. It is regarded as a supportive mechanism to the development and implementation of a Gender Policy as articulated in The UWI Strategic Plan, 2012–2017. The development of a Scorecard is also seen as an example of collaborative governance in action that fosters engagement, commitment, and action across an institution. The proposed model draws upon the experiences of the Gender Equity Scorecards used by international development agencies and other higher educational institutions. The chapter proposes a framework and methodology using staff and student data from The University of the West Indies for the period 1990–1991 to 2011–2012 to build a Gender Scorecard. Finally, the Scorecard is seen as a tool to track performance related to the creation and enhancement of relevant structures and processes to institutionalize gender equality into the functions, operations, and governance of institutions.

Using the next-day and next-week returns of stocks in the Korean market, we examine the association of option volume ratios – i.e. the option-to-stock (O/S) ratio, which is the total volume of put options and call options scaled by total underlying equity volume, and the put-call (P/C) ratio, which is the put volume scaled by total put and call volume – with future returns. We find that O/S ratios are positively related to future returns, but P/C ratios have no significant association with returns. We calculate individual, institutional, and foreign investors’ option ratios to determine which ratios are significantly related to future returns and find that, for all investors, higher O/S ratios predict higher future returns. The predictability of P/C depends on the investors: institutional and individual investors’ P/C ratios are not related to returns, but foreign P/C predicts negative next-day returns. For net-buying O/S ratios, institutional net-buying put-to-stock ratios consistently predict negative future returns. Institutions’ buying and selling put ratios also predict returns. In short, institutional put-to-share ratios predict future returns when we use various option ratios, but individual option ratios do not.

There is unprecedented interest by consumers to improve health and wellness through dietary means. This first study conducted in Trinidad, West Indies, aims to examine the exercise enthusiasts’ perceptions, choices, reasons and beliefs of functional foods.

A structured questionnaire was administered to 120 randomly chosen exercise/fitness enthusiasts at six gyms located in East and Central regions.

Only 50.5 per cent had heard of at least one term either “functional” or “nutraceutical” or “designer” foods with the most familiar term (34.3 per cent; p<0.05) being “functional”. Frequency of exercise (p<0.01) and age (p<0.05) were influential factors affecting familiarity to functional term. Tomatoes (89.5 per cent) and cabbages (83.2 per cent) were popular vegetable choices. Energy giving was selected as most (71.6 per cent; p<0.05) important health claim. The perceived benefit of functional foods was more for performance enhancement rather than for health. Functional foods were considered expensive (47.4 per cent), prevented disease (46.3 per cent), necessary for older people (37.9 per cent) and were different from others. On comparing the respondent's agreement of manufacturer's health claims of functional foods with their own beliefs, 39.0 per cent “agreed/strongly agreed” that the manufacturers exaggerated their health claims. Gender did not (p>0.05) influence responses.

Although, limited in sample size, the reasons given for consumption of functional foods and the chosen foods could guide marketers and food product developers. The study highlighted the need for public education on the health benefits and regulatory measures on functional foods.

Though female labour force participation (FLFP) rates have been widely analysed across countries, the analysis of migrant women's participation has been consistently ignored in the literature. The few studies that have been conducted concentrate largely on sociological and anthropological aspects of migrant women (see Foner (1976)). This article will investigate immigrant FLFP rates, which are generally found to be different from their counterparts in the immigrants' country of origin. To evaluate the immigrant FLFP rate we analyse and quantify the nature and significance of its various demographic, socio‐economic and cultural determinants.