The four purposes of this study are to understand the development and the current status of Taiwan’s far seas longline tuna fisheries through a review of the literature and…
Abstract
Purpose
The four purposes of this study are to understand the development and the current status of Taiwan’s far seas longline tuna fisheries through a review of the literature and interviews; to investigate the attitude of Taiwanese fishing vessel operators fishing in the Indian Ocean concerning the use of transportation under the influence of various factors; to analyze the relationship between changes in the transportation behavior of Taiwanese fishing vessel operators and various factors; and to provide suggestions to government and industry associations concerning the development of viable response strategies.
Design/methodology/approach
This paper uses methods including factor analysis and the analytic hierarchy process to analyze questionnaires collected from industry personnel and governmental personnel involved in the supply chain system of the longline tuna fishery in the Indian Ocean.
Findings
It is found that 16 assessment criteria in four major dimensions have major influence on the choice of cold chain transport. An assessment of all dimensions indicates that reefer ships are still the preferred means of transshipping frozen catch.
Originality/value
This paper seeks to investigate factors affecting choice of cold chain mode of transport from the perspective of Taiwanese companies operating longline tuna fishing vessels in the Indian Ocean, which are chiefly motivated by the need to reduce operating costs, and also looks at their choices of means of transport.
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Hedonic value is commonly conceded as a determinant of behavioral intentions toward location-based advertising (LBA). However, the careful consideration of a mechanism behind…
Abstract
Purpose
Hedonic value is commonly conceded as a determinant of behavioral intentions toward location-based advertising (LBA). However, the careful consideration of a mechanism behind hedonic motivation and its subsequent impact on continuance intention is inadequate. This study aims to explore the formation of hedonic value and its motivation for prolonged usage toward LBA.
Design/methodology/approach
A sample of 486 mobile users was recruited to evaluate the research model using structural equation modeling (SEM).
Findings
Results reveal that perceived utility and promotional offers are the strongest indicators of hedonic value. Moreover, social support and contextual convenience play an essential role in heightening hedonic value. Furthermore, the research lenses attempt to clarify the direct, indirect influences of hedonic value, irritation and perceived credibility on continuance intention.
Practical implications
The findings offer practitioners an understanding of how to improve hedonic value and continuance intention and develop effective LBA strategies in emerging markets.
Originality/value
This study narrows the gap of current literature by formulating a hedonic value-based continuance intention model based on uses and gratifications theory (UGT). Additionally, this work illuminates the insights into hedonic value toward LBA by identifying its motivations, including perceived utility, promotional offers, social support and contextual convenience.
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In the last two decades, the dependence of Taiwan’s manufacturing production on imported intermediate inputs has steadily risen. Meanwhile, the market share of imported consumable…
Abstract
In the last two decades, the dependence of Taiwan’s manufacturing production on imported intermediate inputs has steadily risen. Meanwhile, the market share of imported consumable manufacture products has also increased. The steady rise of both import shares may not be explained by price fact or since the relative import prices have shown no decreasing trend. The scenario of constantly buying more imported goods when they are not cheaper can be treated as a preference change in favor of imported goods, which may be caused by the popularity of outsourcing, increasing product varieties and persistent trade barriers, as literatures indicated. Traditional macroeconomic models primarily consider the price mechanism in their import demand estimates, with no concern for changes in import preferences. Neglecting changing import preferences in a rapid globalization environment may yield biased empirical results. In this article, we incorporate the import preference factor into a single-country Computable General Equilibrium (CGE) model and use it firstly to quantify the scale of preferences change and then to test how the preferences change affects the effects of trade policy. The empirical results with and without the concern of import preferences change are compared to yield the scale of bias caused by neglecting the change.
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Sepehr Alizadehsalehi and Ibrahim Yitmen
The purpose of this research is to develop a generic framework of a digital twin (DT)-based automated construction progress monitoring through reality capture to extended reality…
Abstract
Purpose
The purpose of this research is to develop a generic framework of a digital twin (DT)-based automated construction progress monitoring through reality capture to extended reality (RC-to-XR).
Design/methodology/approach
IDEF0 data modeling method has been designed to establish an integration of reality capturing technologies by using BIM, DTs and XR for automated construction progress monitoring. Structural equation modeling (SEM) method has been used to test the proposed hypotheses and develop the skill model to examine the reliability, validity and contribution of the framework to understand the DRX model's effectiveness if implemented in real practice.
Findings
The research findings validate the positive impact and importance of utilizing technology integration in a logical framework such as DRX, which provides trustable, real-time, transparent and digital construction progress monitoring.
Practical implications
DRX system captures accurate, real-time and comprehensive data at construction stage, analyses data and information precisely and quickly, visualizes information and reports in a real scale environment, facilitates information flows and communication, learns from itself, historical data and accessible online data to predict future actions, provides semantic and digitalize construction information with analytical capabilities and optimizes decision-making process.
Originality/value
The research presents a framework of an automated construction progress monitoring system that integrates BIM, various reality capturing technologies, DT and XR technologies (VR, AR and MR), arraying the steps on how these technologies work collaboratively to create, capture, generate, analyze, manage and visualize construction progress data, information and reports.
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Wenjun Jing, Xuan Liu, Linlin Wang and Yi He
Aiming at the lack of explanatory power of traditional industrial organization theory in cross-border competition, by introducing the idea of ecological niche, the authors aim to…
Abstract
Purpose
Aiming at the lack of explanatory power of traditional industrial organization theory in cross-border competition, by introducing the idea of ecological niche, the authors aim to explore the competitive situation of platform-based enterprises when they operate in multiple fields.
Design/methodology/approach
With the help of ecological niche theory, construct the niche width and niche overlap index of typical enterprises in the platform economy, and find out the advantages and the intensity of competition through comparative analysis.
Findings
In an environment of cross-border competition, large enterprises have significant competitive advantages, and the fierce competition is concentrated among medium-sized enterprises.
Originality/value
The conclusions of this paper not only provide new insights for explaining the phenomenon of cross-border competition in the platform economy, but also provide theoretical reference for the anti-trust enforcement practice in the platform economy.
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Jose Matas, Nieves Perez, Laura Ruiz and Marta Riquelme-Medina
This study aims to investigate the interplay between a proactive attitude towards disruptions – supply chain disruption orientation – and supply chain resilience, increasing our…
Abstract
Purpose
This study aims to investigate the interplay between a proactive attitude towards disruptions – supply chain disruption orientation – and supply chain resilience, increasing our understanding of their influence on reducing the impact of supply chain disruptions within the B2B context.
Design/methodology/approach
As unexpected disruptions are closely related to a dynamic and changing perception of the environment, this research is framed under the dynamic capabilities lens, consistent with existing resilience literature. The authors used partial least squares-path modeling (PLS-PM) to empirically test the proposed research model using survey data from 216 firms.
Findings
Results show that a proactive approach to disruptions alone is insufficient in mitigating their negative impact. Instead, a firm’s disruption orientation plays a crucial role in boosting its resilience, which acts as a mediator, reducing the impact of disruptions.
Originality/value
This paper sheds light on the mechanisms by which firms can mitigate the effects of supply chain disruptions and offers insights into how certain capabilities are needed so that firms’ attitudes can effectively impact firm performance. This research thus suggests that dynamic capabilities, traditionally perceived as being enabled by other elements, act themselves as enablers. Consequently, they have the potential to translate strategic orientation or attitudes into tangible effects on performance, enriching our understanding of how firms combine their internal attitudes and capabilities to achieve sustained competitive advantage.
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Md Sajjad Hosain and Abdullah Mohammad Ahshanul Mamun
This empirical paper is an endeavor to explore the relationship between social media advertising (SMA) and customers' purchase intention (CPI) in three South Asian countries. SMA…
Abstract
Purpose
This empirical paper is an endeavor to explore the relationship between social media advertising (SMA) and customers' purchase intention (CPI) in three South Asian countries. SMA was further divided into three relevant dimensions: perceived relevance (PR), perceived informativeness (PI) and perceived credibility (PC). Furthermore, the authors incorporated a single mediator: customers' brand consciousness (CBC) to test the mediating effects on the direct relationships.
Design/methodology/approach
The authors purposively selected 1937 fashion-conscious individuals based on a cross-sectional survey design. The authors applied SPSS 25 for explanatory statistics and structural equation modeling (SEM) (through AMOS 25) for testing the hypothesized relationships.
Findings
Based on the responses and the application of statistical measures, the authors revealed that all of the three dimensions of SMA have significant positive relationships with CPI. CBC is also significantly and positively related to CPI. Regarding the mediating effects, CBC was identified to have full mediation effects on the relationships between PR and CPI and PI and CPI. On the contrary, the same variable was found to have partial mediation on the relationship between PC and CPI.
Originality/value
South Asia is a growing business hub and the largest consumer market in terms of population. This empirical study was undertaken to reveal the role of SMA on CPI in the three highly populated South Asian countries, which is rare in academia. The outcomes of this empirical study are expected to be useful for further research attempts regarding SMA and consumer behavior. Businesses and policymakers are also expected to benefit from formulating SMA-related strategies to retain present buyers as well as attract the prospective ones.