bluuebunny/crossref_metadata_2025_split huggingface dataset:
Supply chain capabilities and competitiveness of high-tech manufacturing start-ups in India
Authors: Ghosh Debabrata , Mehta Peeyush , Avittathur Balram 
Published: May 2019

PurposeThe purpose of this paper is to understand the practices and policies unique to high-tech manufacturing start-ups in emerging economies, such as India. The study analyzes the main features and challenges of the high-tech manufacturing sector, and the way in which enabling environment including policy making, supply chain capability and related technologies through Industry 4.0 could be leveraged to foster growth.Design/methodology/approachThe paper undertakes an exploratory approach through in-depth semi-structured interviews conducted with high-tech manufacturing firms in various stages of their growth. The paper provides evidence of the challenges that high-tech manufacturing firms face in India, the strategies they adopt and highlights the role of institutional structures and policies.FindingsFindings show that high-tech manufacturing start-ups in India face various challenges in the upstream, production and downstream supply chain processes. Further, issues related to availability of quality material, quality suppliers, contracts, funding and access to markets remain. Results also show that enabling operational and financial levers could be created by policy makers and other stakeholders to help the high-tech manufacturing start-ups scale faster and create value.Originality/valueThis paper contributes to the R&D intensive industry and high-tech manufacturing literature in the context of emerging economies, such as India, and provides a rigorous overview of the start-up ecosystem in high-tech manufacturing.
The potential of IoT in redesigning the bank branch protection system
Authors: Ammirato Salvatore , Sofo Francesco , Felicetti Alberto Michele , Raso Cinzia 
Published: May 2019

Purpose
Most recent developments in the Internet of Things (IoT) technologies can boost the efficacy of business process management (BPM) to improve process performance. The purpose of this paper is to describe a method for redesigning bank branch (BB) protection systems contributing to make BBs “smarter.”

Design/methodology/approach
Based upon a multiple case study approach, the paper deployed a four-step business process reengineering design from an information system development perspective. To overcome limitations of information scarcity required for modeling activities, a multimethod approach to data gathering and results validation was adopted. The approach was based on a comprehensive literature review and an in-depth qualitative survey involving a sample of six security managers of primary Italian banking groups.

Findings
The intelligent protection system resulting from the application of the methodology to the Italian BB sector was able to improve the security management process. Lead time and actors’ workload were reduced; running costs decreased; quality of information improved as well as the overall effectiveness of the protection system against criminal attacks.

Originality/value
The specific IoT technologies proposed are new. Additionally, to date, their application to BB security management has not been analyzed in the BPM literature. The value resides in the highly applicable results of the methodology to the BB network of a banking group both inside and outside of Italy.
A conceptual framework for waste identification and reduction in Nigerian sandcrete blocks production process
Authors: Aka Adefemi , Bamgbade Abosede Adebisi , Saidu Ibrahim , Balogun Oladimeji Moses 
Published: May 2019

Purpose
Non-value adding activities or waste have been a major challenge for the construction industry. Researchers worldwide have investigated how such activities can be reduced or overcome in the industry. However, much has not been done regarding waste in the production process of building blocks. Therefore, this study aims to investigate the various waste in sandcrete blocks production process (SBPP). The study also aims to find out the causes of the waste and their impacts on the factory performance.

Design/methodology/approach
To achieve the aims of this study, a qualitative study was conducted in five sandcrete blocks firms in Minna. Physical observation and interviews were the main instruments used for data collection. The data obtained were analyzed through content analysis. Samples of blocks (low standard only) were also taken to the laboratory for compressive and porosity tests. Thereafter, questionnaires were administered to other sandcrete blocks producers in six firms. The essence of this was to investigate the applicability of the identified waste in other factories in the study context and for further data analysis.

Findings
Typical forms of waste in SBPP are excessive stocking of sand and cement, long distance covered from the store to the mixing or production location, excessive quantity or over design of materials and over vibration or compaction of the newly produced blocks. It is anticipated that adoption of lean concepts, tools and techniques in the production of sandcrete blocks will help to eradicate the identified waste in the process and stimulate a future state value stream mapping (VSM). The practicality of the expected future state VSM is presently being investigated by one of the five firms in the study context.

Research limitations/implications
The findings of the study mainly provide further insights on the various process waste in Nigerian sandcrete blocks production.

Practical implications
The study provides knowledge on how lean thinking can be adopted to identify and reduce waste in SBPP. Such knowledge may be beneficial to the present and prospective sandcrete blocks producers. The study also provides insight on how the overall cost of production of sandcrete blocks and the quantity of CO2 that is being released into the atmosphere in the production process can be reduced. The VSM in the proposed framework also serves as a tool that can be globally adopted for waste identification by producers of other forms of blocks such as bricks.

Originality/value
This paper satisfies all the tenets of originality as it has not been previously published and all the information obtained from other studies have been duly referenced. The study is also original as it is first in the study context to propose for a lean framework that can be used to reduce waste in SBPP.
Multi-brand loyalty in consumer markets: a qualitatively-driven mixed methods approach
Authors: Arifine Ghizlane , Felix Reto , Furrer Olivier 
Published: May 2019

Purpose
Although multi-brand loyalty (MBL) in consumer markets has been identified in previous brand loyalty research, empirical studies have not yet explored the facets of its different types. This paper aims to have a deeper understanding of MBL by investigating its different types and facets.

Design/methodology/approach
This study uses a sequential, qualitatively driven mixed-method design consisting of in-depth interviews and supplementary survey research.

Findings
The findings of this study suggest that mood congruence, identity enhancement, unavailability risk reduction and market competition are the most important facets that explains the two types of MBL (complementary-based and product substitutes). Furthermore, the findings show that the family factor can motivate consumers to be multi-brand loyal by adding brands to an initially family-endorsed brand.

Research limitations/implications
This study advances the conceptual foundations of MBL and extends previous research on brand loyalty. Some of the findings may be limited to the economic and cultural context of relatively affluent countries with an abundance of market offers.

Practical implications
Marketing managers gain insights into how to manage brand loyalty and how to transition from MBL to single-brand loyalty.

Originality/value
The study generates novel insights into the facets of different types of MBL.
Customer engagement with websites: a transactional retail perspective
Authors: Connell Cara , Marciniak Ruth , Carey Lindsey I. , McColl Julie 
Published: May 2019

Purpose
This paper aims to focus on customer engagement (CE) in the underexplored context of transactional retailing websites, providing insight into the drivers, manifestations and dimensionality of the construct. The website is viewed as a collection of environmental stimuli, and focus is placed on identifying the website environmental cues that promote CE.

Design/methodology/approach
This focussed study follows an exploratory research design. A total of 22 semi-structured interviews were conducted with one segment group: over-55-year-old female online shoppers in the most commonly purchased product category online, clothing. The stimulus–organism–response model forms the theoretical framework.

Findings
The unique findings identify that product-related environmental cues drive CE on a website, suggesting that CE occurs at the level of the product, as opposed to the website.

Research limitations/implications
CE with websites exists beyond the customer–brand dyad, with the website forming the third node in a triadic relationship between customer, brand (at level of the product) and website (at level of the product-related cues).

Practical implications
This study reveals the relationship between website environmental cues and the manifestation of CE, providing managers with insight on how best to drive CE. Confirmation is provided that the website represents a vital touchpoint in the engagement journey of a retail customer.

Originality/value
Websites as a focal object for CE are markedly under-researched. This study empirically supports the relevance of considering CE in this context and reveals the influence online environments have on CE.
Google Scholar Citation metrics of Pakistani LIS scholars: an overview
Authors: Ali Muhammad Yousuf , Richardson Joanna 
Published: May 2019

Purpose
The purpose of this study is to analyze the use of Google Scholar Citations’ profiling platform by library and information science (LIS) scholars in Pakistan.

Design/methodology/approach
Purposive sampling was used to collect Google Scholar Citations profiles between 15 November 2017 and 31 January 2018. Resultant data were analyzed in SPSS Version 21.

Findings
In terms of demographical data, the study results were consistent with previous studies of Pakistani LIS scholars. There were strong correlations between Google Scholar Citations metrics (publications, citations, h-index and i10-index). The results indicate that, compared with a 2011 survey of LIS academics in Pakistan, the overall uptake for this cohort remains relatively low. This cohort is not maximizing the opportunity provided by this specific online profiling system to increase research visibility.

Research limitations/implications
As the study was limited to those Pakistani LIS scholars who already had a profile on ResearchGate, it would be useful to broaden the research to encompass all Pakistani LIS scholars.

Practical implications
The role of the librarian as an adviser in scholarly communication and impact can be extended to support scholars in the adoption of new online platforms for scholarly communication and visibility.

Originality/value
There have been no published research studies on Google Scholar Citations metrics in the context of Pakistani LIS scholars as a whole.
The synergetic effect of knowledge management and business model innovation on firm competence
Authors: Bashir Makhmoor , Farooq Rayees 
Published: May 2019

Purpose
The purpose of this paper is to provide a systematic review of the linkage between knowledge management, business model innovation and firm competence. The study attempts to summarize a few important and essential issues which future research should address.

Design/methodology/approach
Researchers have conducted an extensive review of the literature covering 50 journals from various databases like Scopus, ProQuest and Emerald. A total of 88 articles from 1997 to 2018 on knowledge management and business model innovation were selected and analyzed.

Findings
The study found that the integration of knowledge management and business model innovation leads to a sustainable competitive advantage. The relationship between knowledge management, business model innovation and firm competence seems to be fragmented because of various meaning and conceptualizations. The study endeavors to examine the relationship between the dimensions (knowledge acquisition, knowledge conversion, knowledge dissemination, knowledge application and knowledge reuse) of knowledge management and business model innovation (value proposition, assets and capabilities, revenue and cost architecture and actors in business networks). The study highlights that chief knowledge officers have a vital role to play in enhancing knowledge management orientation of a company so that knowledge regarding new ways of value creation and value capture is heard within an organization.

Research limitations/implications
This study provides a distribution schema of knowledge management and business model innovation articles based on different search criteria by highlighting different future research avenues. The study is believed to serve as a basis and be a valuable tool for researchers to understand the current and future scenarios about knowledge management and business model innovation. Researchers also acknowledge the limitations of this study with regard to exclusive search criteria, which might affect its generalizability.

Practical implications
The study argues that better knowledge sharing between departments could benefit value creation and therefore drive the organization toward business model innovation which would automatically boost firm competence. The study has made an attempt to highlight the role of Chief Knowledge Officer with regard to business model innovation. Therefore, the proposed model developed in this review will help the organization to better understand the role of knowledge management and business model innovation.

Originality/value
This is one of the first systematic reviews of knowledge management and business model innovation which provides a detailed understanding of the past and future research on the two.
Farmer training to simultaneously increase productivity of soybean and rice in Indonesia
Authors: Mariyono Joko 
Published: May 2019

Purpose
The purpose of this paper is to analyse the effect of enhanced knowledge and technology innovations, which were resulted from training, on the simultaneous production of rice and soybean in Java, Indonesia.

Design/methodology/approach
A model of product possibility frontier with two outputs produced using the same resources was employed. Based on the model, supply responses of soybean and rice were derived. Aggregate data consisting of 12 regions during the ten years of 2000–2009 were compiled from relevant agricultural institutions at the provincial level.

Findings
Improvement in farmers’ capacity has been able to increase production of soybean and rice simultaneously. Farmers’ capacity increased after completion of the school. Knowledge and skill gained from the school have been applied to both rice and soybean farming. Other economic factors also affected the supply response of both commodities.

Research limitations/implications
Available data covered periods 2000–2009. However, the outcomes are still relevant to the current situation because food crops are the basic necessity. This study used secondary aggregate data, which might be less accurate than primary data. However, secondary data have the advantage concerning coverage and time span.

Practical implications
The Government, in collaboration with non-government organisations and the private sectors, should continue to enhance farmers’ capacity to increase the production of food crops to feed people in Indonesia, and over the world in general.

Originality/value
An analysis of joint production using a concept of product transformation curve can measure the impact of training on multi products.
Long-run dynamics between cost of quality and quality performance
Authors: Sturm Sebastian , Kaiser Gernot , Hartmann Evi 
Published: May 2019

Purpose
The dynamics of quality performance and quality cost are gaining renewed interest in quality management literature. Using large sample secondary data, the purpose of this paper is to build up empirical evidence for increasing quality performance in manufacturing in the long-run. The authors then examine whether it is possible to reduce internal and external failure cost over time without increasing prevention and appraisal expenditures in return. Finally, a scale effect in reducing quality cost is measured to clarify the long-run dynamics between quality cost and quality performance.

Design/methodology/approach
The authors conduct statistical analysis on a large sample secondary data set to reveal relationships between total cost of quality, its components and overall quality performance.

Findings
Significantly higher quality performance and lower quality cost are observed in the long-run. Quality costs grow less than half as fast as sales volume, pointing to a significant scale effect in quality cost reduction.

Practical implications
Businesses can use these implications for targeting failure costs and budgeting appraisal and prevention costs. Based on company-specific historical learning behavior through prevention and appraisal activities, an increasingly reliable prognosis of failure cost shall be possible.

Originality/value
For the first time, quality performance and cost dynamics are assessed using a secondary data set with more than 400 observations. A scale effect for quality cost reduction is measured. The results are of great importance to quality management practice and research.
Failure investigation of Cu-DHP tubes due to ant-nest corrosion
Authors: Vazdirvanidis Athanasios , Papadopoulou Sofia , Papaefthymiou Spyros , Pantazopoulos George , Skarmoutsos Dionysios 
Published: May 2019

Purpose
The purpose of this paper is to address the main aspects of ant-nest corrosion failure mechanism of a Cu tube in heating ventilation and air-conditioning (HVAC) installations and analyze the possible root causes through various case studies presented.

Design/methodology/approach
Failure investigation process includes mainly stereo-, light optical and scanning electron microscopy coupled with energy-dispersive X-ray spectroscopy for elemental microanalysis, as the main analytical techniques for material characterization and root-cause analysis.

Findings
The investigation findings, obtained from corrosion products’ analysis in conjunction to metallographic evaluation in transverse sections, illustrate the principal characteristics (“fingerprints”) of ant-nest (formicary) corrosion mechanism.

Originality/value
This paper which deals with the presentation of applied failure analysis/case histories’ investigation, summarizing the main aspects of an important and insidious type of Cu corrosion, taken place in HVAC installation systems and, on the other hand, presenting a complementary analysis of the chemical processes involved in the progressive failure mechanism constitutes an integrated approach, aiming to become a concise contribution to this subject.
Ballistic impact of steel fiber-metal laminates and plates
Authors: Bikakis George , Tsigkros Nikolaos , Sideridis Emilios , Savaidis Alexander 
Published: May 2019

Purpose
The purpose of this paper is to investigate the ballistic impact response of square clamped fiber-metal laminates and monolithic plates consisting of different metal alloys using the ANSYS LS-DYNA explicit nonlinear analysis software. The panels are subjected to central normal high velocity ballistic impact by a cylindrical projectile.

Design/methodology/approach
Using validated finite element models, the influence of the constituent metal alloy on the ballistic resistance of the fiber-metal laminates and the monolithic plates is studied. Six steel alloys are examined, namely, 304 stainless steel, 1010, 1080, 4340, A36 steel and DP 590 dual phase steel. A comparison with the response of GLAss REinforced plates is also implemented.

Findings
It is found that the ballistic limits of the panels can be substantially affected by the constituent alloy. The stainless steel based panels offer the highest ballistic resistance followed by the A36 steel based panels which in turn have higher ballistic resistance than the 2024-T3 aluminum based panels. The A36 steel based panels have higher ballistic limit than the 1010 steel based panels which in turn have higher ballistic limit than the 1080 steel based panels. The behavior of characteristic impact variables such as the impact load, the absorbed impact energy and the projectile’s displacement during the ballistic impact phenomenon is analyzed.

Originality/value
The ballistic resistance of the aforementioned steel fiber-metal laminates has not been studied previously. This study contributes to the scientific knowledge concerning the impact response of steel-based fiber-metal laminates and to the construction of impact resistant structures.
Can search engine data improve accuracy of demand forecasting for new products? Evidence from automotive market
Authors: Kim Dongha , Woo JongRoul , Shin Jungwoo , Lee Jongsu , Kim Yongdai 
Published: May 2019

PurposeThe purpose of this paper is to analyze the relationship between new product diffusion and consumer internet search patterns using big data and to investigate whether such data can be used in forecasting new product diffusion.Design/methodology/approachThis research proposes a new product diffusion model based on the Bass diffusion model by incorporating consumer internet search behavior. Actual data from search engine queries and new vehicle sales for each vehicle class and region are used to estimate the proposed model. Statistical analyses are used to interpret the estimated results, and the prediction performance of the proposed method is compared with other methods to validate the usefulness of data for internet search engine queries in forecasting new product diffusion.FindingsThe estimated coefficients of the proposed model provide a clear interpretation of the relationship between new product diffusion and internet search volume. In 83.62 percent of 218 cases, analyzing the internet search pattern data are significant to explain new product diffusion and that internet search volume helps to predict new product diffusion. Therefore, marketing that seeks to increase internet search volume could positively affect vehicle sales. In addition, the demand forecasting performance of the proposed diffusion model is superior to those of other models for both long-term and short-term predictions.Research limitations/implicationsAs search queries have only been available since 2004, comparisons with data from earlier years are not possible. The proposed model can be extended using other big data from additional sources.Originality/valueThis research directly demonstrates the relationship between new product diffusion and consumer internet search pattern and investigates whether internet search queries can be used to forecast new product diffusion by product type and region. Based on the estimated results, increasing internet search volume could positively affect vehicle sales across product types and regions. Because the proposed model had the best prediction power compared with the other considered models for all cases with large margins, it can be successfully utilized in forecasting demand for new products.