Perspective Of Process Theory Research Articles

Neuroaesthetic Indicators from the Perspective of Two-Stage Process Theory: N2 and LPP can Predict Aesthetic Judgment of Human–Computer Interfaces

This study presented 101 participants with either interfaces or scrambled interfaces to purify the effects of aesthetic judgment. Both N2 and LPP showed a significant interaction between aesthetic level (aesthetic, medium, and unaesthetic) and image type (interface and scramble). More specifically, N2 was more enhanced for aesthetic interfaces than for medium and unaesthetic interfaces, while N2 for the three types of scrambles showed no difference. Similarly, LPP for aesthetic and medium interfaces was more positive than for unaesthetic interfaces, but LPP for the three kinds of scrambled images showed no significant differences. The results of four classification models consistently showed that N2 and LPP could more accurately classify four different interface types than N1 and P2. These patterns indicated that both N2 and LPP are ERP correlates for aesthetic appreciation, indicating that aesthetic and unaesthetic interfaces might evoke differences in both the early attentional and later evaluation stages.

Modelling supply chain Visibility, digital Technologies, environmental dynamism and healthcare supply chain Resilience: An organisation information processing theory perspective

The healthcare sector is a complex and critical industry that requires a resilient supply chain to ensure patients receive the care they need. However, the pandemic and geopolitical crises have highlighted the need for a more comprehensive understanding of healthcare supply chain resilience. To address this, healthcare providers and policymakers increasingly recognise the importance of digital technology in enhancing their supply chain resilience. Despite this recognition, there is a lack of empirical studies that have explored the relationship between supply chain visibility, digital capabilities, and environmental dynamism in the healthcare sector. Therefore, our study aimed to fill this gap by utilising organisational information processing theory (OIPT) to explain the relationship between these factors. Our analysis of 137 survey responses revealed that supply chain visibility is a foundational resource for digital capabilities. Moreover, digital capabilities are vital in enhancing healthcare supply chain resilience in highly turbulent environments. Our research expands the concept of the OIPT to offer a more comprehensive explanation of how supply chain visibility is a crucial factor for the effective functioning of digital technologies, particularly in highly uncertain environments. Our findings also provide useful insights for healthcare managers and policymakers who wish to enhance their supply chain’s resilience and leverage digital technologies to achieve this objective.

The interplay effects of digital technologies, green integration, and green innovation on food supply chain sustainable performance: An organizational information processing theory perspective

Green integration (GIT) and green innovation (GIO) in food supply chains (FSCs) have the potential to attain sustainability with the facilitation of digital technologies (DTs). Nevertheless, few studies have been conducted regarding the effectiveness of DTs and GIT in determining GIO and sustained FSC. Furthermore, an unsustainable food supply chain is a globally recognised problem that needs immediate, multidimensional holistic measures. Therefore, the present study tests the interplay effects of GIT, GIO, and DTs in FSC sustainable performance (FSCSP) under the strategic configuration for information-processing fit, i.e., organizational information processing theory (OIPT) perspective. A combined approach of structural equation modelling (SEM) and artificial neural network (ANN) was used to examine the collected responses from different related industries and validate the robustness of the proposed hypothesis through ANN. The findings demonstrate that the usage of DTs has a favourable impact on GIO and GIT. Furthermore, GI has a positive influence on GIO. Finally, both GIO and GI have a positive impact on FSCSP. Theoretically, under the strategic alignment for information-processing fit, the study's findings suggest that GIT and GIO improve their FSC strategies and practically keep the FSC ahead of the competition for the long haul by ensuring sustainability. It is clear from the results of this research that practitioners should support more DTs to promote GIT, GIO, and FSCSP. This research fills a significant gap in the literature by analyzing the unexplored connections across the FSCSP, GIT, GIO, and DTs as facilitators in the context of sustainability.

Understanding physical exercise among individuals with substance use disorders using an integrated theoretical perspective of the health action process approach and theory of planned behavior.

Physical exercise is considered a useful non-pharmacological adjunctive treatment for promoting recovery from substance use disorders (SUD). However, adherence to physical exercise treatments is low, and little is known about what factors are associated with the initiation and maintenance of physical exercise behaviors. The aim of this study was to explore the psychosocial factors underlying these behaviors in individuals with SUD using an integrated theoretical model based on the health action process approach (HAPA) and the theory of planned behavior (TPB). A total of 1,197 individuals with SUDs (aged 37.20 ± 8.62 years) were recruited from 10 compulsory isolation drug rehabilitation centers in Zhejiang Province via convenience sampling according to a set of inclusion criteria. Self-reported data were collected to assess task self-efficacy (TSE), maintenance self-efficacy (MSE), recovery self-efficacy (RSE), outcome expectations (OE), action planning (AP), coping planning (CP), social support (SS), subjective norms (SN), attitude behavior (AB), behavioral intention (BI), perceived behavioral control (PBC), risk perception (RP), exercise stage, and exercise behavior in this integrated model. ANOVA and structural equation modeling (SEM) were used to evaluate this model. One-way ANOVA revealed that the majority of the moderating variables were significantly different in the exercise phase. Further SEM showed that the model fit the data and revealed several important relationships. TSE, RP, SS, AB, and SN were indirectly associated with physical exercise behavior in individuals with SUD through the BI in the SUD initiation stage. In addition, PBC was directly related to physical exercise behavior in individuals with SUD. In the maintenance stage, MSE, AP, CP and exercise behavior were significantly related. Moreover, AP and CP were mediators of BI and MSE. This study is the first attempt to integrate patterns of physical exercise behavior in individuals with SUD. The HAPA-TPB integration model provides a useful framework for identifying determinants of physical exercise behavioral intentions and behaviors in individuals with SUD and for explaining and predicting the initiation and maintenance of physical exercise behaviors in these individuals. Moreover, the model provides scientific guidance for the enhancement of physical exercise adherence in individuals with SUD.

Can digital construction policy promote enterprise green innovation? A quasinatural experiment based on broadband China

PurposeThe purpose of this study is to explore how digital construction policy (DCP) drives enterprise green innovation (EGI) from an information processing theory (IPT) perspective, including the mediating mechanisms of market information accessibility and operational risk, the moderating role of intellectual property protection (IPP) and product market competition (PMC) and the heterogeneous effects of ownership, Internet development and managerial ability.Design/methodology/approachBased on the matched panel data of A-share listed enterprises from 2011 to 2019 and the Broadband China policy as a quasinatural experiment, this study investigates the impact of DCP on EGI by constructing a multi-time point difference-indifferences (DID) model.FindingsDigital construction policies can significantly promote EGI. DCP works in two fundamental ways, namely by increasing market information accessibility and reducing operational risk. IPP and PMC significantly increased the contribution of digital construction policies to EGI. Heterogeneity analysis found that digital technology has a stronger promotion effect for SOEs, high-managerial-ability enterprises and enterprises in regions with low Internet development levels.Practical implicationsThe study provides new insights about the antecedents of EGI from a DCP perspective. It also enlightens emerging economies to actualize green innovation under the digital wave.Originality/valueFrom the perspective of IPT, this study explains the mechanism of DCP-driven EGI. It enhances understanding of the relationship between DCP and EGI.

Role of information processing and digital supply chain in supply chain resilience through supply chain risk management

PurposeSupply chain (SC) management is more challenging than ever. Significantly, the pandemic has provoked global and economic destruction that appeared in the manufacturing industry as a “black swan.” Therefore, the purpose of this study was to examine the role of information processing and digital supply chain in supply chain resilience through supply chain risk management.Design/methodology/approachThis study examines SC risk management and resilience from an information processing theory perspective. The authors used data collected from 251 SC professionals in the manufacturing industry, and the authors used a quantitative method to analyze the data. The data was analyzed using partial least squares-structural equation modeling. To confirm the higher-order measurement model, the authors used SmartPLS version 4 software.FindingsThis study found that information processing capability (disruptive orientation and visibility in high-order) and digital SC significantly and positively affect SC risk management and resilience. Similarly, SC risk management positively mediates the relationship between information processing capability and digital SC. However, information processing capability was found to have a more substantial effect on SC risk management than the digital SC.Research limitations/implicationsThis study has both academic and practical contributions. It contributed to existing information processing theory, and manufacturing firms can improve their performance by proactively responding to SC disruptions by recognizing the pivotal role of study variables in risk management for a resilient SC.Originality/valueThe conceptual model of this study is based on information processing theory, which asserts that synchronizing information processing capabilities and digital SCs allows a firm to deal with unplanned events. SC disruption orientation and visibility are considered risk controllers as they allow the firms to be more proactive. An integrated model of conceptualizing the disruption orientation, visibility (higher-order) and digital SC with information processing theory makes this research novel.

Blockchain technology adoption and supply chain resilience: exploring the role of transformational supply chain leadership

PurposeAlthough blockchain technology holds significant promise in influencing supply chain resilience (SCR), its effectiveness depends on a variety of factors. However, given that blockchain adoption in SCR is still in its infancy, there is a lack of empirical research to reveal the critical success factors maximizing its efficacy. This study aims to apply an organizational information processing theory (OIPT) perspective to explore how transformational supply chain leadership (TSCL) can facilitate the deployment and connection of blockchain technology to meet the imperatives of enhancing SCR.Design/methodology/approachThis study used a two-wave survey method to gather data from 317 Chinese manufacturers to empirically examine the hypothesized relationships.FindingsThe findings suggest that the adoption of blockchain technology enhances both the proactive and reactive dimensions of SCR, and these effects can be realized through the mediating role of TSCL. Furthermore, the positive effect of blockchain technology on TSCL is strengthened in the context of dysfunctional competition.Practical implicationsThese findings suggest that companies can only enhance the benefits of disruptive technologies, such as blockchain, by fully integrating them into the operational and supply chain processes.Originality/valueThis research offers novel insights into the specific processes of how blockchain technology can be used to enhance SCR. It also deepens our comprehension of how digital technology can be optimally harnessed within the framework of OIPT, thus providing a contribution to the literature on emerging technologies and SCR.

‘You can book an interpreter the same way you order your Uber': (re)interpreting work and digital labour platforms

ABSTRACT The gig economy, encompassing on-demand work via platforms, has grown exponentially with significant consequences for the interpreting industry. Arguing that this tendency of the interpreting industry towards gig work reflects wider shifts in both labour-capital relations and the role of technology in the economy, this study explores ‘gig’ interpreting work from a labour process theory perspective. Leveraging a qualitative case study of three platforms in Northwestern Europe, as well as interviews with platform companies’ managers and interpreters, the study indicates that platformisation is impacting business models, organisation, and intermediation of interpreting work, with implications for interpreters’ working conditions. The study finds that engaging in platform work exposes interpreters to risks related to monetary factors, algorithmic control, individualisation of employment relations, on-demand availability, and subjugation to a digital form of supply-demand intermediation. In contrast, platform companies push towards maximising interests of profit and flexibility, harnessing the potential of gig work as the natural, entrepreneurial extension of interpreters’ self-employment status. The study contributes to interpreting and sociological studies on workplace developments in digital capitalism, suggesting that the configuration of interpreting in platform-mediated production lubricates an exploitative labour-capital relationship.

Team pro-social rule breaking and team innovation performance: An information processing theory perspective.

Exploring the antecedents that affect the team innovation performance can better promote the organization to research the potential factors to enhance the organizational innovation competitiveness. Drawing upon information processing theory, we develop a moderated mediation model to examine the relationship between team pro-social rule breaking and team innovation performance. A three-wave field study is constructed from two large manufacturing enterprises from 82 team leaders and their 382 subordinates in Shanghai, China. The results reveal that team pro-social rule breaking is positively related to team innovation performance through team reflexivity. In addition, the relationship between team pro-social rule breaking and team innovation performance via team reflexivity is positive only when team learning orientation is high. The implications, limitations, and future research directions of these findings are discussed.

Building supply chain resilience through collaborative innovation: An information processing theory perspective

COVID-19 has brought unprecedented impacts on global logistics and left supply chain management on the verge of collapse, which highlights the research importance of supply chain resilience (SCRE). To provide more insights into SCRE in the pandemic context, this paper uses information processing theory (IPT) as a theoretical lens and attempt to explore how SCRE can be achieved through information processing ‘fit’, that is, the fit between information processing capability and its information processing capability. We conducted a single-case analysis by choosing Zong-Teng Group, one of the biggest cross-border e-commerce enterprises in China, as our sample. Data were mainly collected from interviews with Zong-Teng’s managers and open online resources. Through this single-case analysis, this paper identifies supply chain collaborative innovation as a new mechanism between information processing ‘fit’ and SCRE. Specifically, a firm’s information processing ‘fit’ can lead to three modes of innovative collaborations (i.e., technology, management and market innovation), which further improves SCRE. These findings provide some valuable implications for both researchers and practitioners in operations and supply chain management (OSCM) realms.

Firms' multi-sided platform construction efforts and ESG performance: An information processing theory perspective

This research explores the impact of business-to-business (B2B) firms' efforts to construct technology-enabled multi-sided platforms (MSP efforts) on their ESG performance through an information processing theory (IPT) lens. Integrating the literature on digital transformation and MSPs, we delineate firms' MSP efforts along with three dimensions (digital operation efforts, technology sharing efforts, and flat management efforts) and posit that each addresses specific challenges associated with the environmental, social, and governance components of ESG performance. Using a sample of 213 publicly listed Chinese firms, encompassing 1527 firm-year observations, we measure the variation in the three dimensions of MSP efforts through a deep neural network-based latent Dirichlet allocation topic model to analyze their annual reports. We find that digital operation efforts enhance environmental, social, and governance performance; technology sharing efforts primarily improve environmental and social performance; and flat management efforts boost only governance performance. In addition, these effects are more pronounced for large firms than for small firms. Two robustness checks, employing patent applications and granted patents as alternative indicators of firms' MSP efforts, further corroborate these findings. This research augments both the MSP and ESG literature, offering actionable insights for firms, governments, and non-governmental organizations.

Procurement's role in resolving demand–supply imbalances: an information processing theory perspective

PurposeDrawing on information processing theory, the linkage between buffering and bridging and the ability on the part of procurement to resolve demand–supply imbalances is investigated, as well as contexts in which these strategies may be particularly useful or detrimental. Buffering may be achieved through demand change or redundancy, while bridging may be achieved by the means of collaboration or monitoring.Design/methodology/approachThis study employs a hierarchical regression analysis of a survey of 150 Finnish and Swedish procurement and sales and operations planning professionals, each responding from the perspective of their own area of supply responsibility.FindingsBoth the demand change and redundancy varieties of buffering are associated with procurement's ability to resolve demand–supply imbalances without delivery disruptions, but not with cost-efficient resolution. Bridging is associated with the cost-efficient resolution of imbalances: while collaboration offers benefits, monitoring seems to make things worse. Dynamism diminishes, while the co-management of procurement in S&OP improves procurement's ability to resolve demand–supply imbalances. The most potent strategy for tackling problematic contexts appears to be buffering via demand change.Practical implicationsThe results highlight the importance of procurement in the S&OP process and suggest tactical measures that can be taken to resolve and reduce the effects of supply and demand imbalances.Originality/valueThe results contribute to the procurement and S&OP literature by increasing knowledge regarding the role and integration of procurement to the crucial process of balancing demand and supply operations.

The impact of big data analytics capability on green supply chain integration: an organizational information processing theory perspective

PurposeDespite big data analytics capability (BDAC) has received extensive attention, how and under what conditions BDAC influences green supply chain integration (GSCI) remains unclear. This study draws on organizational information processing theory to examine the mediating effect of supply chain visibility in the BDAC–GSCI link and the moderating effects of flexibility- and control-oriented culture.Design/methodology/approachThe authors examined the research model using two-waved survey data gathered from 317 Chinese firms. The authors employed hierarchical regression analysis and bootstrapping method to test hypotheses and assessed the robust of theoretical model using structural model.FindingsThe authors found that BDAC facilitates all three dimensions of GSCI. Supply visibility mediates the relationship between BDAC and all three dimensions of GSCI, whereas demand visibility only mediates the positive effects of BDAC on green internal and customer integration. In addition, control-oriented culture strengthens the positive impacts of BDAC on supply and demand visibility, while the moderating effects of flexibility-oriented culture are insignificant.Originality/valueThis research contributes to opening the “black box” of how BDAC affects GSCI and provides novel guidelines for firms enhancing the degree of GSCI.

Retention and Recall of Lexicon Using Semantic Maps

Semantic maps ensure a high potential to facilitate enhanced quality of understanding words. ESL students are often presented with new English vocabulary items that are many times pre-organized in sets of semantically related words. Although there is an assumption that word grouping facilitates the activities for vocabulary learning, little or no empirical justification is offered by researchers in support of employing this teaching technique. This study aims to examine to what extent semantic relatedness influences ESL vocabulary recall and retention for middle school students of Telangana. The current study was conducted with 30 seventh grade students who were divided into two groups to compare the effects of presenting semantic maps and wordlists for reading comprehension activities. The results reveal that both teaching strategies have positive effects on vocabulary recall and retention. Between these two strategies semantic mapping was found to yield better results on recall. The difference between the groups can be explained from the perspective of information process theory and memory model. Significant learning and effectiveness of semantic maps was found in the experiment group.

The (im)possibilities of an ideal education reform. Discourses, alliances and construction of alternatives of the Rosa Sensat movement in Catalonia

ABSTRACT This article analyses the case of Rosa Sensat teachers’ movement in Catalonia during the final years of Francoism and the transition to democracy in Spain (1965–1990). This movement was a key actor in education reform debates in that period. Based on the perspective of political process theory, the article focuses on the contextual, organisational and discursive dynamics that define the Rosa Sensat movement, and its role as a sociopolitical actor in three historical periods: (i) the moment of emergence, linked to the dissident schools (1965–1970); (ii) the process of transition to democracy and educational decentralisation, marked by the difficulties in reforming public education (1970–1977); and (iii) the post-transition period, marked by the new constitution, the integration of dissident schools into the public system (1978–1990) and the marginalisation of the movement. The conclusions highlight its influence and subsequent decline as a sociopolitical actor in education reform.

From an identity process theory perspective: a daily investigation of why and when ostracism triggers ingratiation

ABSTRACT Although existing studies suggest the relationship between ostracism and ingratiation, the knowledge about why and when ostracism promotes ingratiatory behaviors remains limited. Drawing from identity process theory, the current study examines the influence of ostracism on ingratiatory behaviors through the mediating role of self-identity threat on a daily timescale and the cross-level moderation of core self-evaluation. Through a diary study of 117 Chinese college students across 14 consecutive days, we found that daily ostracism had a positive indirect effect on daily ingratiatory behaviors through daily self-identity threat. Core self-evaluation of students weakened the indirect effect, such that only students with low core self-evaluation engaged in daily ingratiatory behaviors to cope with self-identity threat from ostracism. More importantly, supplemental analyses suggested that averaged daily ingratiatory behaviors were negatively related to perceived ostracism one week later. We discussed several theoretical and practical implications of these findings and proposed future research directions.

Unfolding the typology and quality of the learner agency practices in the teachers’ implementation of the 2013 curriculum in Indonesia: the normalisation process theory perspective

Unfolding the typology and quality of the learner agency practices in the teachers’ implementation of the 2013 curriculum in Indonesia: the normalisation process theory perspective

Information Processing for Quality Assurance in Reverse Logistics Supply Chains: An Organizational Information Processing Theory Perspective

Every year, the construction industry produces a large volume of demolition waste (DW) recovered through reverse logistics supply chains (RLSCs). Information-centric QA plays an important role in the RLSC, providing an excellent solution for inferior-quality reprocessed products. However, information deficiency creates epistemic uncertainties that lead to information-processing needs (IPNs) for QA, for which the internal stakeholders in the RLSC should respond by undertaking appropriate information-processing mechanisms (IPMs). Given this, the current study aims to explore how internal stakeholders process information for QA in RLSC of DW through the organizational information processing theory (OIPT) perspective. The study follows a qualitative approach encompassing 30 semi-structured interviews with internal and external stakeholders in the RLSC of DW. The study found eight uncertainties that stem from the internal organizational environment and two uncertainties caused by the interactions with stakeholders in the supply chain. In addition, 15 IPMs were identified, which the demolishers and waste processors could undertake in response to the epistemic uncertainties. The study developed an information-processing management framework that would serve practitioners and academics to understand how effectively process, people, policy and technology elements contribute to responding to the epistemic uncertainties for successful QA in RLSC of DW.

How short-form video features influence addiction behavior? Empirical research from the opponent process theory perspective

PurposeConsidering the popularity and addictive attributes of short-form videos, this study aims to determine mechanisms by which short-form video features affect addiction.Design/methodology/approachThis study conducts empirical research using data collected from 382 Chinese TikTok users. Based on the stimulus–organism–response framework, the research model was constructed from the opponent process theory (OPT) perspective through features and emotional elements.FindingsThe results show that short-form video features influence addiction by activating users' perceived enjoyment and feeling of withdrawal. Based on the positive and negative reinforcement of the OPT, users must repeatedly interact with short-form videos to maintain positive emotions or reduce negative emotions. Eventually, this practice will lead to addiction. Additionally, users' procrastination moderates the relationship between feeling of withdrawal and addiction.Originality/valueThis study discussed how features influence addiction through opponent emotions on short-form video from the OPT perspective, enriching scholars' research on social media addiction. Furthermore, this study examined the moderating effects of procrastination and identifies unique features of short-form videos.

On Value Creation, Value Form Transformation and Life of Engineering Value

<p indent="0mm">After the linguistic turn, the philosophical analysis of “ordinary language” and “academic language” has attracted much attention. This paper pays special attention to the application of interdisciplinary analysis methods and the philosophical analysis of the economic research results of engineering value, focusing on the philosophical analysis of engineering value from the perspective of creationism and process theory. This paper briefly analyzes the technical design, value demand design and aesthetic design of engineering products and some philosophical issues raised. At the same time, it also discusses the production subject of engineering activities, production procedures, exchange value and value exchange of engineering products, value form transformation, value realization and life cycle of engineering value, especially the value content and mutual transformation of products, and commodities and consumer goods.