Example of Decision Sciences format
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Example of Decision Sciences format Example of Decision Sciences format Example of Decision Sciences format Example of Decision Sciences format Example of Decision Sciences format Example of Decision Sciences format Example of Decision Sciences format
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Example of Decision Sciences format Example of Decision Sciences format Example of Decision Sciences format Example of Decision Sciences format Example of Decision Sciences format Example of Decision Sciences format Example of Decision Sciences format
Sample paper formatted on SciSpace - SciSpace
This content is only for preview purposes. The original open access content can be found here.
open access Open Access

Decision Sciences — Template for authors

Publisher: Wiley
Categories Rank Trend in last 3 yrs
Business, Management and Accounting (all) #38 of 218 down down by 4 ranks
Strategy and Management #107 of 440 down down by 13 ranks
Management of Technology and Innovation #63 of 248 down down by 10 ranks
Information Systems and Management #33 of 125 down down by 4 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 158 Published Papers | 664 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 07/06/2020
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Related Journals

open access Open Access

Taylor and Francis

Quality:  
High
CiteRatio: 5.0
SJR: 0.788
SNIP: 1.115
open access Open Access

SAGE

Quality:  
High
CiteRatio: 4.2
SJR: 2.315
SNIP: 1.802
open access Open Access

SAGE

Quality:  
High
CiteRatio: 3.4
SJR: 0.894
SNIP: 1.8
open access Open Access

SAGE

Quality:  
High
CiteRatio: 4.8
SJR: 1.908
SNIP: 2.066

Journal Performance & Insights

Impact Factor

CiteRatio

Determines the importance of a journal by taking a measure of frequency with which the average article in a journal has been cited in a particular year.

A measure of average citations received per peer-reviewed paper published in the journal.

2.014

3% from 2018

Impact factor for Decision Sciences from 2016 - 2019
Year Value
2019 2.014
2018 1.96
2017 1.641
2016 1.595
graph view Graph view
table view Table view

4.2

8% from 2019

CiteRatio for Decision Sciences from 2016 - 2020
Year Value
2020 4.2
2019 3.9
2018 3.3
2017 2.9
2016 2.9
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has increased by 3% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has increased by 8% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

1.238

7% from 2019

SJR for Decision Sciences from 2016 - 2020
Year Value
2020 1.238
2019 1.329
2018 1.331
2017 1.382
2016 1.254
graph view Graph view
table view Table view

1.377

3% from 2019

SNIP for Decision Sciences from 2016 - 2020
Year Value
2020 1.377
2019 1.419
2018 1.155
2017 1.28
2016 1.128
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has decreased by 7% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has decreased by 3% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

Decision Sciences

Guideline source: View

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Wiley

Decision Sciences

Decision Sciences, a premier journal of the Decision Sciences Institute, publishes scholarly research about decision making within the boundaries of an organization, as well as decisions involving inter-firm coordination.  The journal promotes research advancing decision makin...... Read More

Business, Management and Accounting

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Last updated on
06 Jun 2020
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ISSN
0011-7315
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Impact Factor
High - 1.594
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Open Access
Yes
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Sherpa RoMEO Archiving Policy
Yellow faq
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Plagiarism Check
Available via Turnitin
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Endnote Style
Download Available
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Bibliography Name
apa
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Citation Type
Numbered
[25]
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Bibliography Example
Beenakker, C.W.J. (2006) Specular andreev reflection in graphene.Phys. Rev. Lett., 97 (6), 067 007. URL 10.1103/PhysRevLett.97.067007.

Top papers written in this journal

open accessOpen access Journal Article DOI: 10.1111/J.1540-5915.2008.00192.X
Technology Acceptance Model 3 and a Research Agenda on Interventions
Viswanath Venkatesh1, Hillol Bala2
01 May 2008 - Decision Sciences

Abstract:

Prior research has provided valuable insights into how and why employees make a decision about the adoption and use of information technologies (ITs) in the workplace. From an organizational point of view, however, the more important issue is how managers make informed decisions about interventions that can lead to greater ac... Prior research has provided valuable insights into how and why employees make a decision about the adoption and use of information technologies (ITs) in the workplace. From an organizational point of view, however, the more important issue is how managers make informed decisions about interventions that can lead to greater acceptance and effective utilization of IT. There is limited research in the IT implementation literature that deals with the role of interventions to aid such managerial decision making. Particularly, there is a need to understand how various interventions can influence the known determinants of IT adoption and use. To address this gap in the literature, we draw from the vast body of research on the technology acceptance model (TAM), particularly the work on the determinants of perceived usefulness and perceived ease of use, and: (i) develop a comprehensive nomological network (integrated model) of the determinants of individual level (IT) adoption and use; (ii) empirically test the proposed integrated model; and (iii) present a research agenda focused on potential pre- and postimplementation interventions that can enhance employees' adoption and use of IT. Our findings and research agenda have important implications for managerial decision making on IT implementation in organizations. read more read less

Topics:

Technology acceptance model (61%)61% related to the paper, Nomological network (51%)51% related to the paper
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5,246 Citations
Journal Article DOI: 10.1111/J.1540-5915.1996.TB00860.X
A Model of the Antecedents of Perceived Ease of Use: Development and Test*
Viswanath Venkatesh1, Fred D. Davis2
01 Sep 1996 - Decision Sciences

Abstract:

The Technology Acceptance Model (TAM) has been widely used to predict user acceptance and use based on perceived ease of use and usefulness. However, in order to design effective training interventions to improve user acceptance, it is necessary to better understand the antecedents and determinants of key acceptance construct... The Technology Acceptance Model (TAM) has been widely used to predict user acceptance and use based on perceived ease of use and usefulness. However, in order to design effective training interventions to improve user acceptance, it is necessary to better understand the antecedents and determinants of key acceptance constructs. In this research, we focus on understanding the determinants of perceived ease of use. Data from three experiments spanning 108 subjects and six different systems supported our hypothesis that an individual's perception of a particular system's ease of use is anchored to her or his general computer self-efficacy at all times, and objective usability has an impact on ease of use perceptions about a specific system only after direct experience with the system. In addition to being an important research issue in user acceptance research, understanding antecedents of perceived ease of use is also important from a practical standpoint since several systems in which millions of dollars are invested are rejected because of poor user interfaces. Moreover, the actual underlying problem might be low computer self-efficacy of the target user group. In such cases, training interventions aimed at improving computer self-efficacy of users may be more effective than improved interface design for increasing user acceptance. read more read less

Topics:

Technology acceptance model (63%)63% related to the paper, User interface (55%)55% related to the paper, Usability (54%)54% related to the paper
3,288 Citations
Journal Article DOI: 10.1111/J.1540-5915.1999.TB01614.X
Are Individual Differences Germane to the Acceptance of New Information Technologies
Ritu Agarwal1, Jayesh Prasad2
01 Mar 1999 - Decision Sciences

Abstract:

Persuading users to adopt new information technologies persists as an important problem confronting those responsible for implementing new information systems. In order to better understand and manage the process of new technology adoption, several theoretical models have been proposed, of which the technology acceptance mode... Persuading users to adopt new information technologies persists as an important problem confronting those responsible for implementing new information systems. In order to better understand and manage the process of new technology adoption, several theoretical models have been proposed, of which the technology acceptance model (TAM) has gained considerable support. Beliefs and attitudes represent significant constructs in TAM. A parallel research stream suggests that individual difference factors are important in information technology acceptance but does not explicate the process by which acceptance is influenced. The objective of this paper is to clarify this process by proposing a theoretical model wherein the relationship between individual differences and IT acceptance is hypothesized to be mediated by the constructs of the technology acceptance model. In essence then, these factors are viewed as influencing an individual's beliefs about an information technology innovation; this relationship is further supported by drawing upon extensive research in learning. The theoretical model was tested in an empirical study of 230 users of an information technology innovation. Results confirm the basic structure of the model, including the mediating role of beliefs. Results also identify several individual difference variables that have significant effects on TAM's beliefs. Theoretical contributions and practical implications that follow are discussed. read more read less

Topics:

Technology acceptance model (68%)68% related to the paper, Information system (52%)52% related to the paper, Information technology (52%)52% related to the paper, Empirical research (50%)50% related to the paper
2,095 Citations
Journal Article DOI: 10.1111/J.1540-5915.1989.TB01421.X
An Instrument for Measuring the Critical Factors of Quality Management
Jayant V. Saraph1, P. George Benson1, Roger G. Schroeder1
01 Dec 1989 - Decision Sciences

Abstract:

Much has been written about how quality should be managed in an organization. The quality literature contains many case studies of successful companies and descriptions of quality concepts and quality improvement programs. To date, however, there has been no systematic attempt to organize and synthesize the various prescripti... Much has been written about how quality should be managed in an organization. The quality literature contains many case studies of successful companies and descriptions of quality concepts and quality improvement programs. To date, however, there has been no systematic attempt to organize and synthesize the various prescriptions offered, nor have measures of organizational quality management been proposed for areas such as top management leadership, training, employee involvement, and supplier management. While many organizations collect quality data such as defect rates, error rates, rework cost, and scrap cost, these are not measures of organization-wide quality management. This paper provides a synthesis of the quality literature by identifying eight critical factors (areas) of quality management in a business unit. Operational measures of these factors are developed using data collected from 162 general managers and quality managers of 89 divisions of 20 companies. The measures can be used individually or in concert to produce a profile of organization-wide quality practices. The measures are found to be both valid and reliable. Such measures could be used by decision makers in an organization to assess the status of quality management in order to direct improvements in the quality area. Researchers can use such measures to better understand quality management practice and to build theories and models that relate the critical factors of quality management to the organization's quality environment and quality performance. read more read less

Topics:

Quality policy (75%)75% related to the paper, Quality management (71%)71% related to the paper, Quality audit (70%)70% related to the paper, Quality assurance (65%)65% related to the paper, Software quality control (64%)64% related to the paper
2,094 Citations
Journal Article DOI: 10.1111/J.1540-5915.1996.TB00842.X
Development and Validation of TQM Implementation Constructs
Sanjay L. Ahire1, Damodar Y. Golhar1, Matthew A. Waller2
01 Mar 1996 - Decision Sciences

Abstract:

The contemporary quality management (QM) literature prescribes various quality improvement strategies. However, it lacks scientifically developed and tested constructs that represent an integrative QM philosophy. Moreover, an impact of the prescribed QM strategies on a firm's product quality has not been analyzed. Through a d... The contemporary quality management (QM) literature prescribes various quality improvement strategies. However, it lacks scientifically developed and tested constructs that represent an integrative QM philosophy. Moreover, an impact of the prescribed QM strategies on a firm's product quality has not been analyzed. Through a detailed analysis of the literature, this research identifies 12 constructs of integrated QM strategies. Using a survey of 371 manufacturing firms, the constructs are then empirically tested and validated. LISREL 7 is used for this purpose. Finally, a framework to examine the effects of integrated QM strategies on a firm's product quality is suggested. Comparisons between this and two other comprehensive scales of TQM are made. read more read less

Topics:

Quality management (59%)59% related to the paper, Total quality management (57%)57% related to the paper, Quality (business) (56%)56% related to the paper, Product (category theory) (50%)50% related to the paper
1,873 Citations
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SciSpace is a very innovative solution to the formatting problem and existing providers, such as Mendeley or Word did not really evolve in recent years.

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With SciSpace, you do not need a word template for Decision Sciences.

It automatically formats your research paper to Wiley formatting guidelines and citation style.

You can download a submission ready research paper in pdf, LaTeX and docx formats.

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Time taken to format a paper and Compliance with guidelines

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Decision Sciences format uses apa citation style.

Automatically format and order your citations and bibliography in a click.

SciSpace allows imports from all reference managers like Mendeley, Zotero, Endnote, Google Scholar etc.

Frequently asked questions

1. Can I write Decision Sciences in LaTeX?

Absolutely not! Our tool has been designed to help you focus on writing. You can write your entire paper as per the Decision Sciences guidelines and auto format it.

2. Do you follow the Decision Sciences guidelines?

Yes, the template is compliant with the Decision Sciences guidelines. Our experts at SciSpace ensure that. If there are any changes to the journal's guidelines, we'll change our algorithm accordingly.

3. Can I cite my article in multiple styles in Decision Sciences?

Of course! We support all the top citation styles, such as APA style, MLA style, Vancouver style, Harvard style, and Chicago style. For example, when you write your paper and hit autoformat, our system will automatically update your article as per the Decision Sciences citation style.

4. Can I use the Decision Sciences templates for free?

Sign up for our free trial, and you'll be able to use all our features for seven days. You'll see how helpful they are and how inexpensive they are compared to other options, Especially for Decision Sciences.

5. Can I use a manuscript in Decision Sciences that I have written in MS Word?

Yes. You can choose the right template, copy-paste the contents from the word document, and click on auto-format. Once you're done, you'll have a publish-ready paper Decision Sciences that you can download at the end.

6. How long does it usually take you to format my papers in Decision Sciences?

It only takes a matter of seconds to edit your manuscript. Besides that, our intuitive editor saves you from writing and formatting it in Decision Sciences.

7. Where can I find the template for the Decision Sciences?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per Decision Sciences's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

8. Can I reformat my paper to fit the Decision Sciences's guidelines?

Of course! You can do this using our intuitive editor. It's very easy. If you need help, our support team is always ready to assist you.

9. Decision Sciences an online tool or is there a desktop version?

SciSpace's Decision Sciences is currently available as an online tool. We're developing a desktop version, too. You can request (or upvote) any features that you think would be helpful for you and other researchers in the "feature request" section of your account once you've signed up with us.

10. I cannot find my template in your gallery. Can you create it for me like Decision Sciences?

Sure. You can request any template and we'll have it setup within a few days. You can find the request box in Journal Gallery on the right side bar under the heading, "Couldn't find the format you were looking for like Decision Sciences?”

11. What is the output that I would get after using Decision Sciences?

After writing your paper autoformatting in Decision Sciences, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is Decision Sciences's impact factor high enough that I should try publishing my article there?

To be honest, the answer is no. The impact factor is one of the many elements that determine the quality of a journal. Few of these factors include review board, rejection rates, frequency of inclusion in indexes, and Eigenfactor. You need to assess all these factors before you make your final call.

13. What is Sherpa RoMEO Archiving Policy for Decision Sciences?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for Decision Sciences. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In Decision Sciences?

The 5 most common citation types in order of usage for Decision Sciences are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

15. How do I submit my article to the Decision Sciences?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per Decision Sciences's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

16. Can I download Decision Sciences in Endnote format?

Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in Decision Sciences Endnote style according to Elsevier guidelines.

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I spent hours with MS word for reformatting. It was frustrating - plain and simple. With SciSpace, I can draft my manuscripts and once it is finished I can just submit. In case, I have to submit to another journal it is really just a button click instead of an afternoon of reformatting.

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