Evidence map›Paper›PMID 39495813›Full record

ArticlePloS one2024

Exploring Internet of Things adoption challenges in manufacturing firms: A Delphi Fuzzy Analytical Hierarchy Process approach.

Hasan Shahriar, Md Saiful Islam, Md Abrar Jahin, Istiyaque Ahmed Ridoy, Raihan Rafi Prottoy, Adiba Abid, M F Mridha

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Hasan ShahriarDepartment of Industrial Engineering and Management, Khulna University of Engineering and Technology (KUET), Khulna, Bangladesh.
Md Saiful IslamDepartment of Industrial Engineering and Management, Khulna University of Engineering and Technology (KUET), Khulna, Bangladesh.
Md Abrar JahinDepartment of Industrial Engineering and Management, Khulna University of Engineering and Technology (KUET), Khulna, Bangladesh.ORCID 0000-0002-1623-3859
Istiyaque Ahmed RidoyInstitute of Business Administration, University of Dhaka, Dhaka, Bangladesh.
Raihan Rafi ProttoyDepartment of Industrial Engineering and Management, Khulna University of Engineering and Technology (KUET), Khulna, Bangladesh.
Adiba AbidDepartment of Industrial Engineering and Management, Khulna University of Engineering and Technology (KUET), Khulna, Bangladesh.
M F MridhaDepartment of Computer Science, American International University-Bangladesh (AIUB), Dhaka, Bangladesh.ORCID 0000-0001-5738-1631

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Innovation is key to gaining a sustainable edge in an increasingly competitive global manufacturing landscape. For Bangladesh's manufacturing sector to survive and thrive in today's cutthroat business environment, adopting transformative technologies such as the Internet of Things (IoT) is not a luxury but a necessity. This article tackles the formidable task of identifying and comprehensively evaluating the impediments to IoT adoption in the Bangladeshi manufacturing industry. We delve deeply into the complex terrain of IoT adoption challenges by synthesizing expert insights and a meticulously selected body of contemporary literature. We employ a robust methodology combining the Delphi method with the fuzzy Analytical Hierarchy Process to systematically analyze and prioritize these challenges. Using this methodology, we leveraged the combined expertise of domain specialists and subsequently employed fuzzy logic techniques to address the inherent ambiguities and uncertainties within the data. Our findings highlight this clear path. They reveal that among the myriad barriers, "Lack of top management commitment to implementing new technology" (B10), "High initial implementation investment costs" (B9), and "Risks associated with switching to a new business model" (B7) loom most extensive, demanding immediate attention. These insights are not confined to academia but serve as a pragmatic guide for industrial managers. Armed with the knowledge gleaned from this study, managers can craft tailored strategies, set well-informed priorities, and embark on a transformational journey toward harnessing the vast potential of IoT in the Bangladeshi industrial sector. This article provides a comprehensive understanding of IoT adoption challenges and industry leaders with the tools necessary to navigate these challenges effectively. This strategic navigation, in turn, contributes significantly to enhancing the competitiveness and sustainability of Bangladeshi manufacturing in the IoT era.

Indexed as

Delphi TechniqueFuzzy LogicInternet of ThingsBangladeshCommerceHumansManufacturing Industry

Identifiers

PMID39495813
PMCPMC11534249

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.