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Article
Publication date: 12 August 2014

Nicolas Travers, Zeinab Hmedeh, Nelly Vouzoukidou, Cedric du Mouza, Vassilis Christophides and Michel Scholl

The purpose of this paper is to present a thorough analysis of three complementary features of real-scale really simple syndication (RSS)/Atom feeds, namely, publication activity…

Abstract

Purpose

The purpose of this paper is to present a thorough analysis of three complementary features of real-scale really simple syndication (RSS)/Atom feeds, namely, publication activity, items characteristics and their textual vocabulary, that the authors believe are crucial for emerging Web 2.0 applications. Previous works on RSS/Atom statistical characteristics do not provide a precise and updated characterization of feeds’ behavior and content, characterization that can be used to successfully benchmark the effectiveness and efficiency of various Web syndication processing/analysis techniques.

Design/methodology/approach

The authors empirical study relies on a large-scale testbed acquired over an eight-month campaign from 2010. They collected a total number of 10,794,285 items originating from 8,155 productive feeds. The authors deeply analyze feeds productivity (types and bandwidth), content (XML, text and duplicates) and textual content (vocabulary and buzz-words).

Findings

The findings of the study are as follows: 17 per cent of feeds produce 97 per cent of the items; a formal characterization of feeds publication rate conducted by using a modified power law; most popular textual elements are the title and description, with the average size of 52 terms; cumulative item size follows a lognormal distribution, varying greatly with feeds type; 47 per cent of the feed-published items share the same description; the vocabulary does not belong to Wordnet terms (4 per cent); characterization of vocabulary growth using Heaps’ laws and the number of occurrences by a stretched exponential distribution conducted; and ranking of terms does not significantly vary for frequent terms.

Research limitations/implications

Modeling dedicated Web applications capacities, Defining benchmarks, optimizing Publish/Subscribe index structures.

Practical implications

It especially opens many possibilities for tuning Web applications, like an RSS crawler designed with a resource allocator and a refreshing strategy based on the Gini values and evolution to predict bursts for each feed, according to their category and class for targeted feeds; an indexing structure which matches textual items’ content, which takes into account item size according to targeted feeds, size of the vocabulary and term occurrences, updates of the vocabulary and evolution of term ranks, typos and misspelling correction; filtering by pruning items for content duplicates of different feeds and correlation of terms to easily detect replicates.

Originality/value

A content-oriented analysis of dynamic Web information.

Details

International Journal of Web Information Systems, vol. 10 no. 3
Type: Research Article
ISSN: 1744-0084

Keywords

Article
Publication date: 21 October 2022

Tolga Çimen, Adil Baykasoğlu and Sebnem Demirkol Akyol

Various approaches and algorithms have been proposed since the 1950s to solve the assembly line (AL) balancing problem. These methods have established an AL configuration from the…

Abstract

Purpose

Various approaches and algorithms have been proposed since the 1950s to solve the assembly line (AL) balancing problem. These methods have established an AL configuration from the beginning. However, a prebalanced AL may have to be rebalanced in real life for many reasons, such as changes in the cycle time, production demand, product features or task operation times. This problem has increasingly attracted the interest of scientists in recent years. This study aims to offer a detailed review of the assembly line rebalancing problems (ALRBPs) to provide a better insight into the theoretical and practical applications of ALRBPs.

Design/methodology/approach

A structured database search was conducted, and 41 ALRBP papers published between 2005 and 2022 were classified based on the problem structure, objective functions, problem constraints, reasons for rebalancing, solution approaches and type of data used for solution evaluation. Finally, future research directions were identified and recommended.

Findings

Single model, straight lines with deterministic task times were the most studied type of the ALRBPs. Eighteen percent of the studies solved worker assignment problems together with ALRBP. Product demand and cycle time changes were the leading causes of the rebalancing need. Furthermore, seven future research opportunities were suggested.

Originality/value

Although there are many review studies on AL balancing problems, to the best of the authors’ knowledge, there have been no attempts to review the studies on ALRBPs.

Details

Assembly Automation, vol. 42 no. 6
Type: Research Article
ISSN: 0144-5154

Keywords

Article
Publication date: 18 August 2022

Adalberto Sato Michels and Alysson M. Costa

Resource-constrained assembly lines are widely found in industries that manufacture complex products. In such lines, tasks may require specific resources to be processed…

Abstract

Purpose

Resource-constrained assembly lines are widely found in industries that manufacture complex products. In such lines, tasks may require specific resources to be processed. Therefore, decisions on which tasks and resources will be assigned to each station must be made. When the number of available stations is fixed, the problem’s main goal becomes the minimisation of cycle time (type-II version). This paper aims to explore this variant of the problem that lacks investigation in the literature.

Design/methodology/approach

In this paper, the authors propose mixed-integer linear programming (MILP) models to minimise cycle time in resource-constrained assembly lines, given a limited number of stations and resources. Dedicated and alternative resource types for tasks are considered in different scenarios.

Findings

Besides, past modelling decisions and assumptions are questioned. The authors discuss how they were leading to suboptimal solutions and offer a rectification.

Practical implications

The proposed models and data set fulfil more practical concerns by taking into account characteristics found in real-world assembly lines.

Originality/value

The proposed MILP models are applied to an existing data set, results are compared against a constraint programming model, and new optimal solutions are obtained. Moreover, a data set extension is proposed due to the simplicity of the current one and instances up to 70 tasks are optimally solved.

Details

Assembly Automation, vol. 42 no. 5
Type: Research Article
ISSN: 0144-5154

Keywords

Book part
Publication date: 17 October 2016

Malissa A. Clark, Gregory W. Stevens, Jesse S. Michel and Lauren Zimmerman

This chapter examines the role of leader workaholism in relation to their own and their followers’ well-being. We begin with an overview of workaholism, along with a description…

Abstract

This chapter examines the role of leader workaholism in relation to their own and their followers’ well-being. We begin with an overview of workaholism, along with a description of how workaholism may relate to typical leader behaviors. We propose a conceptual model linking the various components of workaholism to leaders’ well-being and followers’ well-being. In our model, we propose that leaders’ workaholism can negatively influence their own well-being, and also their followers’ well-being through interindividual crossover of affective, cognitive, and behavioral components of workaholism. Furthermore, the negative well-being outcomes experienced by the workaholic leader can also crossover to the followers through interindividual strain–strain crossover. Several moderating factors of these relationships are discussed, as well as avenues for future research.

Details

The Role of Leadership in Occupational Stress
Type: Book
ISBN: 978-1-78635-061-9

Keywords

Book part
Publication date: 2 September 2019

Sarah K. Harkness and Amy Kroska

We examine whether self-stigmatization may affect the everyday social interactions of individuals with a diagnosed, affective mental health disorder. Past research demonstrates…

Abstract

We examine whether self-stigmatization may affect the everyday social interactions of individuals with a diagnosed, affective mental health disorder. Past research demonstrates self-stigmatization lowers self-esteem, efficacy, and personal agency, leading to the likely adoption of role-identities that are at the periphery of major social institutions. We advance research on self-stigma by examining the likely interactional and emotional consequences of enacting either a highly stigmatized self-identity or a weakly stigmatized self-identity.

Using affect control theory (ACT), we form predictions related to the interactional and emotional consequences of self-stigmatization. We use the Indianapolis Mental Health Study and Interact, a computerized instantiation of ACT, to generate empirically based simulation results for patients with an affective disorder (e.g., major depression and bipolar disorder), comparing simulations where the focal actor is a person with a mental illness who exhibits either high or low levels of self-stigma.

Self-stigma is predicted to negatively influence patients’ behavioral expression, leading the highly self-stigmatized to enact behaviors that are lower in goodness, power, and liveliness than the weakly self-stigmatized. Their corresponding emotional expressions during these types of interactions are similarly negatively impacted. Even though these likely interactions are the most confirmatory for people with high levels of self-stigma, they lead to interactions that are behaviorally and emotionally more negative than those who have been better able to resist internalizing stigmatizing beliefs.

This piece has implications for the literature on the interactional and life course challenges faced by psychiatric patients and contributes to the self-stigma literature more broadly. This work will hopefully inform future research involving the collection of non-simulation-based data on the everyday interactional experiences of people with mental health problems.

Book part
Publication date: 1 January 2005

Sara Ann McComb, Melissa Woodard Barringer and Kristina A Bourne

Part-time employment is a vital portion of the U.S. labor force, yet research to date has provided only limited insights into how to successfully create and manage this sector of…

Abstract

Part-time employment is a vital portion of the U.S. labor force, yet research to date has provided only limited insights into how to successfully create and manage this sector of the workforce. We propose that these limitations are due, at least in part, to an inadequate explication of the levels issues inherent in this area. In this article, we present a summary framework of constructs at the economic, industry, organization, individual, and work levels that influence part-time work arrangements. We then specify a cross-level moderator model that examines how the number of hours worked by employees influences their attitudes and behaviors. We posit that this relationship is moderated by a number of contextual effects at multiple levels. Using this sample model, we demonstrate the way in which researchers examining part-time work arrangements can effectively address levels issues. Our article concludes with a discussion of the implications that this summary framework has for researchers, practitioners, and policy makers.

Details

Multi-level Issues in Organizational Behavior and Processes
Type: Book
ISBN: 978-1-84950-269-6

Book part
Publication date: 27 November 2018

Marc Esteve Del Valle, Alicia Wanless-Berk, Anatoliy Gruzd and Philip Mai

Facebook “likes” are often used as a proxy of users’ attention and an affirmation of what is posted on Facebook (Gerodimos & Justinussen, 2015). To determine what factors predict…

Abstract

Facebook “likes” are often used as a proxy of users’ attention and an affirmation of what is posted on Facebook (Gerodimos & Justinussen, 2015). To determine what factors predict “likes,” the authors analyzed Facebook posts made by the campaigns of Hillary Clinton, Bernie Sanders, and Donald Trump, the top three candidates from the 2016 US primary election. Several possible factors were considered, such as the types of posts, the use of pronouns and emotions, the inclusion of slogans and hashtags, references made to opponents, as well as candidate’s mentions on national television. The results of an ordinary least-squared regression analysis showed that the use of highly charged (positive or negative) emotions and personalized posts (first-person singular pronouns) increased “likes” across all three candidates’ Facebook pages, whereas visual posts (posts containing either videos or photos) and the use of past tenses were liked more often by Hillary Clinton and Bernie Sanders’ followers than by Trump’s followers. Television mentions boosted likes on Clinton and Sanders’ posts but had a negative effect on Trump’s. The study contributes to the growing literature on digitally networked participation (Theocharis, 2015) and supports the emerging notion of the new “hybrid media” system (Chadwick, 2013) for political communication. The study also raises questions as to the relevance of platforms such as Facebook to deliberative democratic processes since Facebook users are not necessarily engaging with the content in an organic way, but instead might be guided to specific content by the Facebook timeline algorithm and targeted ads.

Details

Networks, Hacking, and Media – CITA MS@30: Now and Then and Tomorrow
Type: Book
ISBN: 978-1-78769-666-2

Keywords

Book part
Publication date: 20 September 2014

Patrick Rafail

Scholarship on the state control of social movements has predominately focused on overt repression, resulting in comparatively less attention to more covert forms of control…

Abstract

Scholarship on the state control of social movements has predominately focused on overt repression, resulting in comparatively less attention to more covert forms of control. Researchers have suggested that government surveillance of social movement organizations (SMOs) has become increasingly widespread and routinized in the post-September 11, 2001 era, but this hypothesis has remained untested. Since contemporary surveillance is grounded in a logic of information gathering that has diffused across law enforcement agencies since the September 11 attacks, government actors now cast a wide net and monitor a large variety of groups. This study shows that a result, traditional factors predicting surveillance, such as contentious behavior, have less explanatory power. Using a database of 409 SMOs active in Philadelphia between January 1996 and October 2009, the research asked who and why particular groups are monitored by the Pennsylvania Office of Homeland Security (PA-OHS) between November 2009 and September 2010. Bayesian logistic regression analysis is used to examine the variables predicting surveillance. Findings show that 23% of the SMOs in the sample were targets of surveillance. Organizational ideology was the strongest predictor and there was little evidence that history of contentious protests or previous conflict with the police influenced coming under surveillance. However, groups with less visibility in traditional media sources were more likely to be monitored.

Details

Intersectionality and Social Change
Type: Book
ISBN: 978-1-78441-105-3

Keywords

Article
Publication date: 1 August 2008

Wei Zhao and Xueguang Zhou

This study aims to investigate how various aspects of intraorganizational career advancement – current career attainments, recent pace of upward mobility, and future prospect of…

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Abstract

Purpose

This study aims to investigate how various aspects of intraorganizational career advancement – current career attainments, recent pace of upward mobility, and future prospect of career advancement – affect voluntary turnover, drawing empirical evidence from a multinational corporation (MNC) in Taiwan's cultural and labor market environment.

Design/methodology/approach

The empirical study was based on statistical analyses of personnel records of 303 employees in a multinational bank in Taiwan. A discrete‐time logistic model was used to analyse voluntary turnover events.

Findings

Results showed that salary increase and job status generally reduced voluntary turnover. A ceiling position on the job ladder induced turnover and also moderated the relationship between corporate title duration and turnover and that between age and turnover.

Research limitations/implications

Because the empirical evidence was based on data collected from one MNC in Taiwan's distinct research context, this may limit the generalizability of some findings in the study.

Originality/value

Whereas much of the literature on turnover has focused on psychological models, this study adopts an objective career perspective and highlights the significance of intraorganizational career advancement in affecting voluntary turnover. It also deepens one's understanding of career development and choices in a Chinese cultural environment.

Details

Career Development International, vol. 13 no. 5
Type: Research Article
ISSN: 1362-0436

Keywords

Book part
Publication date: 16 April 2012

Waldemar Pfoertsch and Hendrik Scheel

This chapter helps to establish a characterization system for industrial and consumer companies. Marketing science shows that industrial brands and consumer brands have to be…

Abstract

This chapter helps to establish a characterization system for industrial and consumer companies. Marketing science shows that industrial brands and consumer brands have to be managed in significant different ways. The reason is the variety of distinctions. Marketing literature often fall back to the same definition for companies. Usually, companies are defined business-to-business (B2B) when they deal with other companies and business-to-consumer (B2C) when they make their revenues with private consumers. However, both definitions do not represent the knowledge from marketing literature about the specifications in both market categories. The characterization system here separates companies by the demand drivers (derivate and origin) of their costumers, by their communication strategy, by the roles individuals play in the buying process, and recommend the appropriate branding strategy. The results of a survey about B2B knowledge show how important such a characterizing system for the discussion is. Often managers have no clear picture of a company in terms of B2B and B2C marketing. The system helps them to find a common basis for understanding the crucial issues, based on an empirical analysis.

Details

Business-to-Business Marketing Management: Strategies, Cases, and Solutions
Type: Book
ISBN: 978-1-78052-576-1

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