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The purpose of this paper is to propose an integrated model of decision support system (DSS), artificial neural network, information and communication technologies and statistical process control (SPC) to facilitate agreement by different stakeholders with special interests to commit to the decision that will be taken to stop the production line when something goes wrong somewhere in a supplier network environment.

A DSS is proposed to capture exceptional signals from source on deterioration of product quality to alert preventive actions needed before the problems are getting out of hand. The supervisors are given a set of guidelines to support making the decision. Real‐time SPC and rule‐based decision support procedures are used to trigger pre‐defined exceptional signals for forwarding to the most appropriate person (the knowledge holder in the problem domain) to make a decision to stop the line. All servers in all remote sites are internet‐connected and provide real‐time quality data to the regional supply chain manager. A case study is described to show how this is implemented in a lens manufacturing company.

A significant improvement in quality level can be achieved by holding the knowledge worker accountable for making the decision to stop the production line rather than made by default as is with most traditional operations.

To provide a concept to structure activities for decision support so that the persons responsible for making the decision to stop the production line is held accountable by all stakeholders.

Practitioners can replicate the approach used in this paper to their own situations involving decisions to be made to address un‐structured problems and unclear responsibilities.

This article examines ways in which graduates of an online teacher certification program integrate technology into social studies instruction. With dramatic growth in the number of online teacher certification programs, educators are faced with how to ensure their graduates incorporate effective teaching strategies, including technology, into classrooms. Research over the past decade indicates that teachers do not integrate technology within social studies instruction in meaningful ways, beyond traditional approaches to teaching (Ravitz & Wong, 1999; Van Fossen & Shively, 2003, 2009). Results from this study indicate that online teacher education graduates, who have access to technology within their schools, find meaningful ways to integrate such technology into social studies instruction. Teacher educators must conduct more research, and receive more funding, to follow online teacher education graduates. Today’s new generation of tech-savvy students deserve teachers who can competently integrate technology into all content areas.

Construction management researchers have acknowledged that the use of buildability could improve outcomes of project. Efficient use of resources required for the procurement of construction projects is important for the economy. This study aims to aggregate the current knowledge on buildability within the construction management domain into an understandable whole using the systematic review approach.

An interpretivist epistemological approach was used as a lens for the systematic review of published research on buildability. The selected articles cover the time period between 1987 and 2020. The articles published in 2021 and 2022 were excluded to ensure that the scope of the current study is distinct and clear. In this research, qualitative content analysis was used to scrutinise the selected journal papers.

Based on the analysis of literature, the trends and gaps in the current knowledge on the topic of interest were identified. It was found that stakeholder’s knowledge and commitment play a huge role in the extent of adoption of buildability as a practice in the construction sector. Also, the study confirms that the use of buildability is beneficial to the project and its stakeholders.

The study maps the current state of knowledge on buildability and provides information on the gaps that could be explored in the future by researchers.

Service conveniences (SCs) play a deterministic role in motivating consumers’ participation in self-collection (via attended pickup points or unattended automated locker systems). Accordingly, the SERVCON model provides a multi-dimensional conceptualisation of SCs, whereas the Kano model explains consumers’ satisfaction formation in response to multi-dimensional service attributes. Anchored on synthesised insights of both models, the purpose of this paper is twofold: first, to qualitatively apply the SC concept to develop specific service attributes of self-collection; and second, to quantitatively examine these attributes in relation to consumers’ satisfaction formation.

A quantitative Kano model is adopted for survey questionnaire design and data analysis, and 500 valid responses are obtained from an online panel of respondents in Singapore.

SCs are decomposed into 11 service attributes reflecting access, benefit, transaction and post-benefit conveniences of self-collection services. Distinctive patterns of satisfaction formation are revealed in response to specific service attributes; for example, consumers are most responsive to improvement in transaction convenience. Furthermore, as service performance level increases, benefits of spatial accessibility diminish, whereas those of temporal accessibility increase.

This study reveals key service attributes influencing the self-collection services’ convenience and impact on consumers’ satisfaction. Guidelines are presented for designing an optimal resource allocation strategy for logistics service providers to promote self-collection services.

This study synthesises diverse logistics literature on self-collection services under the central theme of SCs, thus enriching the conceptual development of SCs with a decomposed framework of logistics service attributes.

The purpose of this paper is to theorise and develop seven dimensions (strategic supplier partnership, level of information sharing, quality of information sharing, customer service management, internal lean practices, postponement and total quality management) into a supply chain management (SCM) practices (SCMPs) construct and studies its causal relationship with the conceptualised constructs of supply chain performance (SCP) and manufacturing firms’ performance (MFP). The study also explores the causal relationship between SCP and MFP.

Data were collected through a survey questionnaire responded by 249 Jordanian manufacturing firms. The relationships proposed in the developed theoretical framework were represented through three hypotheses: H1 – there is a significant relationship between SCMPs and SCP; H2 – there is a significant relationship between SCMPs and MFP; and H3 – there is a significant relationship between SCP and MFP. Linear regression, ANOVA and Pearson correlation were used to test the hypotheses. The results were further validated using structural equation modelling.

The results indicate that SCMPs have a positive effect on SCP (H1), which in turn also positively affect MFP (H3). Despite this intermediary positive effect of SCMP on MFP through SCP, the study also suggests that SCMPs have a direct and positive effect on MFP (H2).

This study provides hard evidence indicating that higher levels of SCMPs can lead to enhanced supply chain and firms’ performance. It also provides SC managers of manufacturing firms with a multi-dimensional operational measure of the construct of SCMPs for assessing the comprehensiveness of the SCMPs of their firms.

This study is among the very first SCM researches conducted on the Jordanian manufacturing sector, particularly, in relation to the practices that manufacturing firms in this country need to adopt to make their supply chains a solid competitive vehicle for their development. The results have broader implications for all manufacturing companies, particularly in developing economies where the growth of manufacturing and the development of integrated supply chains are key stages in economic development.

E-commerce last-mile logistics is undergoing dramatic changes. By inviting consumers to participate in self-collection, they collectively form a mass crowd of resources that can be integrated into last-mile logistics. However, consumers' participation may lead to a spectrum of value outcomes from value co-creation to co-destruction. Therefore, the purpose of this paper is to critically examine the value formation process focussing on micro-level practices and resource outcomes.

Anchored on practice theory and resource conservation theory, content analysis is adopted to analyse 546 practice-based experiences extracted from a leading social media platform.

The analysis reveals five sequential practices of self-collection: purchasing, delivering, notifying, receiving and confirming. Furthermore, the co-created practices are characterised by gains in material, esteem, social and energy resources of the interacting actors. Meanwhile, the co-destructed practices cause a chain of resource losses, where the interacting actors suffer primary losses which subsequently triggers consumers' coping behaviours and further destroys resources for all.

Focussing on constituent service practices, this study zooms into the value formation process. The authors contribute to logistics literature with a service-dominant logic by stressing end-consumers' involvement in the creation and consumption of last-mile logistics.

This study conceptualises the sources and consequences of the nuanced service practices (value formation or destruction) of self-collection. A unified framework is thus proposed, which guides logistics service providers to channel consumers towards more constructive participation in last-mile logistics.