scholarly journals Types of Asymmetries in Exporter-Importer Relationships and Alignment Behaviour

2016 ◽  
Vol 8 (3) ◽  
pp. 76
Author(s):  
Cagri Talay ◽  
Volkan Alptekin
Keyword(s):  
Supply Chain ◽  
Causal Effects ◽  
Dyadic Relationships ◽  
Additional Insight ◽  
Supply Chain Relationships ◽  
Different Types ◽  
Negative Connotation ◽  
Asymmetric Relationships ◽  
Insight Into

<p>The purpose of this paper is to explore the phenomenon of asymmetry in international supply chain relationships and investigate how small exporter firms manage these asymmetric relationships. Prior studies have conceptualized asymmetry as a relationship attribute and concentrated on causal effects of asymmetry in supplier-buyer relationships by highlighting the extensive amount of reasons why asymmetry occurs in dyadic relationships. However, those extensive reasons intent to articulate why asymmetry occurs in relationships, have not provided enough in-depth to understand the complexity of asymmetry in international supply chain relationships, therefore, this study aims to explore the concept of asymmetry by focusing on structure and exercise rather than simply discovering reasons. This research explores the four distinguishable types of relational asymmetry between exporters and importers suggest different implications for international supply chain relationships. As opposed to the existing literature, which has considered and largely agreed that asymmetry is related to a negative connotation, this research suggests that different types of asymmetries also have a positive relational outcome for small export firms. This exploratory paper provides managers with additional insight into the types of asymmetry in international supply chain relationships and suggests that asymmetric relationships must be examined carefully in order to overcome difficulties that distract long-term relationships.</p>

An Insight into the Polymeric Nanoparticles Applications in Diabetes Diagnosis and Treatment

2021 ◽  
Vol 21 ◽  
Author(s):  
Parisa Dehghani ◽  
Monireh Esameili Rad ◽  
Atefeh Zarepour ◽  
Ponnurengam Malliappan Sivakumar ◽  
Ali Zarrabi
Keyword(s):  
Polymeric Nanoparticles ◽  
Synthetic Polymers ◽  
Diagnostic Methods ◽  
Diagnosis And Treatment ◽  
Diabetes Diagnosis ◽  
Transport Mechanisms ◽  
Different Types ◽  
Treatment And Diagnosis ◽  
Insight Into

: Diabetes mellitus (DM) is a type of chronic metabolic disease that has affected millions of people worldwide and is known with a defect in the amount of insulin secretion, insulin functions, or both. This deficiency leads to an increase in the amounts of glucose, which could be accompanied by long-term damages to other organs such as eyes, kidneys, heart, and nervous system. Thus, introducing an appropriate approach for diagnosis and treatment of different types of DM is the aim of several researches. By the emergence of nanotechnology and its application in medicine, new approaches were presented for these purposes. The object of this review article is to introduce different types of polymeric nanoparticles (PNPs), as one of the most important classes of nanoparticles, for diabetic management. To achieve this goal, at first, some of the conventional therapeutic and diagnostic methods of DM will be reviewed. Then, different types of PNPs, in two forms of natural and synthetic polymers with different properties, as a new method for DM treatment and diagnosis will be introduced. In the next section, the transport mechanisms of these types of nano-carriers across the epithelium, via paracellular and transcellular pathways will be explained. Finally, the clinical use of PNPs in the treatment and diagnosis of DM will be summarized. Based on the results of this literature review, PNPs could be considered one of the most promising methods for DM management.

scholarly journals Exploring the effects of long-term anti-social behaviour victimisation

2020 ◽  
pp. 026975802096197
Author(s):  
Vicky Heap
Keyword(s):  
Qualitative Research ◽  
Social Behaviour ◽  
Empirical Work ◽  
Criminal Behaviour ◽  
Structured Interviews ◽  
Different Types ◽  
The Impact ◽  
Mental And Physical Health ◽  
Insight Into

Despite victimological interest in the impacts of different types of criminal victimisation, there is little empirical work that examines the effects of sub-criminal behaviour on victims. This article begins to redress the balance by reporting the findings from a qualitative research project in England that investigated the effects of long-term anti-social behaviour victimisation. Semi-structured interviews explored victims’ accounts of the long-term anti-social behaviour they experienced and the resultant effects it had on their lives. The research uncovered that victims experience a range of mental and physical health effects as well as behavioural changes and has provided the first in-depth insight into the impact of this type of victimisation. The findings suggest the cumulative harms associated with anti-social behaviour need to be better acknowledged, understood and addressed, with greater support made available to victims.

The Factors that Affect Accountants' Decisions to Seek Careers with Big 4 versus Non-Big 4 Accounting Firms

2012 ◽  
Vol 26 (2) ◽  
pp. 239-264 ◽  
Author(s):  
Penelope L. Bagley ◽  
Derek Dalton ◽  
Marc Ortegren
Keyword(s):  
Behavioral Control ◽  
Data Availability ◽  
Accounting Students ◽  
Perceived Behavioral Control ◽  
Additional Insight ◽  
Accounting Firms ◽  
Accounting Professionals ◽  
Big 4 ◽  
Different Types ◽  
Insight Into

SYNOPSIS Finding qualified accounting staff has consistently been a top issue facing CPA firms. However, little is known about the factors that influence accountants' decisions to seek careers with different types of firms. In our paper, we use Ajzen's (1991) theory of planned behavior to examine the reasons why some accountants seek careers at Big 4 firms, while other accountants seek careers at non-Big 4 firms. We survey accounting students and find that attitudes, subjective norms, and perceived behavioral control each influence firm-choice decisions. To provide additional insight into our results, we survey accounting professionals from Big 4 and non-Big 4 accounting firms. We find that, overall, students' perceptions, while more limited, are similar to those of accounting professionals. Further, we find that accounting professionals provide a number of insightful comments that offer several important implications for accounting firms. Finally, we assess whether accounting professionals perceive that certain types of accounting students are more likely to succeed at Big 4 versus non-Big 4 firms, and whether recruiting efforts are consistent with these perceptions. Data Availability: Data are available upon request.

Uncertainty Analysis of a Finite Deformation Viscoelastic Model

2014 ◽  
Author(s):  
Paul Miles ◽  
Michael Hays ◽  
Ralph Smith ◽  
William S. Oates
Keyword(s):  
Finite Deformation ◽  
Viscoelastic Model ◽  
Large Field ◽  
Additional Insight ◽  
Viscoelastic Models ◽  
Rate Dependent ◽  
Different Types ◽  
Viscoelastic Effects ◽  
Insight Into ◽  
Hyperelastic Models

The viscoelasticity of the dielectric elastomer, VHB 4910, is experimentally characterized, modeled, and analyzed using uncertainty quantification. These materials are known for their large field induced deformation and applications in smart structures, although the rate dependent viscoelastic effects are not well understood. To address this issue, we first quantify hyperelastic and viscoelastic model uncertainty by comparing a finite deformation viscoelastic model to uni-axial rate dependent experiments. The utilization of Bayesian statistics is shown to provide additional insight into different viscoelastic processes within elastomers. This is demonstrated by coupling two hyperelastic models, an Ogden model and a nonaffine model, to different types of viscoelastic models.

Ranking of Variables Impacting Supply Chain Network of Small Scale Industries

2015 ◽  
Vol 3 (1) ◽  
Author(s):  
Vipul Chalotra
Keyword(s):  
Supply Chain ◽  
Linear Regression ◽  
Customer Satisfaction ◽  
Small Scale ◽  
Supply Chain Network ◽  
Supply Chain Relationships ◽  
The Mean ◽  
Self Engagement ◽  
Small Scale Industries

Supply chain is quoted as an association or link of business members or partners such as manufacturers, wholesalers, retailers who closely and jointly work together to achieve some common and predetermined well-to-do objectives. The present paper assesses the mean ranking of variables impacting supply chain network of 44 small scale industries operating in district Udhampur of J&K State. The industries are working under SIDCO and SICOP. Census method was applied to collect data from these industries. The data so collected were subjected to factor analysis for its purification and proper elucidation. The results of the ranking table and linear regression explored that the main factors/variables impacting supply chain network were Clarity of goals, Customer satisfaction, Long term relationships, Clear accountabilities, Internal congruity, and Opportunities for self-engagement. The efficacy of supply chain network is the result of gratifying customers needs, clarity of goals in relationships, and personal accountability to smoothen networks relationships. The results of linear regression revealed that effective supply chain network leads to customer satisfaction and supply chain relationships results in developing long term relationships.

Using a Supply Chain Improvement System (SCIS) to Increase Supply Chain Efficiency

2020 ◽  
pp. 1404-1424
Author(s):  
Herwig Winkler ◽  
Clemens Kuss
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Business Environment ◽  
Theoretical Concept ◽  
Process Efficiency ◽  
Background Information ◽  
Supply Chain Efficiency ◽  
Supply Chain Relationships ◽  
Vertical Range ◽  
Insight Into

Because of the reduced vertical range of manufacturing in recent decades, the complexity of supply chain relationships has increased dramatically. To address this complexity, and with the current pressure of competition in today's business environment, improving process efficiency has become an objective for companies and supply chains. Currently, there are no concepts available that enable evaluating and improving efficiency along entire supply chains. Based on this deficit, the authors developed the Supply Chain Improvement System (SCIS). This chapter will present the theoretical concept of the SCIS and provide the reader with two case studies that consider how to apply it in entrepreneurial practice. Beginning with offering some background information, current deficits in evaluating the efficiency of supply chains will be noted. Proceeding with the principles, the chapter will give a deeper insight into the structure of the concept.

scholarly journals Skill networks and measures of complex human capital

2017 ◽  
Vol 114 (48) ◽  
pp. 12720-12724 ◽  
Author(s):  
Katharine A. Anderson
Keyword(s):  
Human Capital ◽  
Labor Market ◽  
Network Analysis ◽  
Additional Insight ◽  
Wide Range ◽  
Different Types ◽  
Using Data ◽  
Insight Into

We propose a network-based method for measuring worker skills. We illustrate the method using data from an online freelance website. Using the tools of network analysis, we divide skills into endogenous categories based on their relationship with other skills in the market. Workers who specialize in these different areas earn dramatically different wages. We then show that, in this market, network-based measures of human capital provide additional insight into wages beyond traditional measures. In particular, we show that workers with diverse skills earn higher wages than those with more specialized skills. Moreover, we can distinguish between two different types of workers benefiting from skill diversity: jacks-of-all-trades, whose skills can be applied independently on a wide range of jobs, and synergistic workers, whose skills are useful in combination and fill a hole in the labor market. On average, workers whose skills are synergistic earn more than jacks-of-all-trades.

scholarly journals Sustainable Supply Chain in the Era of Industry 4.0 and Big Data: A Systematic Analysis of Literature and Research

2020 ◽  
Vol 12 (10) ◽  
pp. 4108 ◽  
Author(s):  
Ricardo Chalmeta ◽  
Nestor J. Santos-deLeón
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Industry 4.0 ◽  
Future Research ◽  
Sustainable Supply Chain ◽  
Research Directions ◽  
Systematic Analysis ◽  
Different Types ◽  
Future Research Directions ◽  
Insight Into

Supply chain sustainability (SCS) in the age of Industry 4.0 and Big Data is a growing area of research. However, there are no systematic and extensive studies that classify the different types of research and examine the general trends in this area of research. This paper reviews the literature on sustainability, Big Data, Industry 4.0 and supply chain management published since 2009 and provides a thorough insight into the field by using bibliometric and network analysis techniques. A total of 87 articles published in the past 10 years were evaluated and the top contributing authors, countries, and key research topics were identified. Furthermore, the most influential works based on citations and PageRank were obtained and compared. Finally, six research categories were proposed in which scholars could be encouraged to expand Big Data and Industry 4.0 research on SCS. This paper contributes to the literature on SCS in the age of Industry 4.0 by discussing the challenges facing current research but also, more importantly, by identifying and proposing these six research categories and future research directions.

Using a Supply Chain Improvement System (SCIS) to Increase Supply Chain Efficiency

2016 ◽  
pp. 437-456
Author(s):  
Herwig Winkler ◽  
Clemens Kuss
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Business Environment ◽  
Theoretical Concept ◽  
Process Efficiency ◽  
Background Information ◽  
Supply Chain Efficiency ◽  
Supply Chain Relationships ◽  
Vertical Range ◽  
Insight Into

Because of the reduced vertical range of manufacturing in recent decades, the complexity of supply chain relationships has increased dramatically. To address this complexity, and with the current pressure of competition in today's business environment, improving process efficiency has become an objective for companies and supply chains. Currently, there are no concepts available that enable evaluating and improving efficiency along entire supply chains. Based on this deficit, the authors developed the Supply Chain Improvement System (SCIS). This chapter will present the theoretical concept of the SCIS and provide the reader with two case studies that consider how to apply it in entrepreneurial practice. Beginning with offering some background information, current deficits in evaluating the efficiency of supply chains will be noted. Proceeding with the principles, the chapter will give a deeper insight into the structure of the concept.

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