Two-stage Analysis Research Articles

Does culture moderate the innovation input–output relationship? A two-stage configurational analysis

PurposeThis study analyses configurations of national culture as boundary conditions of countries’ national systems of innovation (NSI). Drawing from the NSI approach, we argue that culture’s role is that of a contingency factor shaping the relationship between investments in innovation and national innovation outputs.Design/methodology/approachWe assessed the moderation effect of national culture through a systematic, two-stage approach using fuzzy-set Qualitative Comparative Analysis (fsQCA), which allows the analysis of changes induced by the moderator variables. Analyses were conducted with a diverse sample of 61 countries over a period spanning 12 years, from 2011 to 2022.FindingsFindings reveal that investments in innovation, but not individual cultural dimensions, is a necessary condition for high innovation outputs. Furthermore, several configurations of cultural dimensions were identified as moderators of the relationship between investments in innovation and innovation outputs.Originality/valueThis study provides insights into cross-national innovation research by exposing the role of cultural configurations, rather than just individual cultural dimensions, as boundary conditions involved in the achievement of high levels of innovation.

Enhancing urban emergency management: A two-stage network DEA analysis of Chinese cities

In order to scientifically evaluate the emergency management capabilities of major cities in China, this article conducts a comprehensive study on the input and output indicators of emergency response in each city. A two-stage network DEA model was used to construct an evaluation model that reflects the emergency management capacity of cities. A dataset containing emergency management data from 36 well-known cities in China was selected to effectively evaluate its performance, and the city that demonstrated the most effective input-output ratio in the field of emergency management was ultimately determined. The research results show that using a two-stage network DEA model as the foundation to construct an evaluation model that reflects urban emergency management capabilities can promote a wise combination of subjective and objective evaluations, and achieve scientific investment in urban emergency assets.

The role of para-social relationship in live streaming virtual gift purchase: a two-stage SEM-neural network analysis

PurposeDespite the burgeoning popularity of virtual gifting in live streaming, research lacks an in-depth understanding of the drivers behind this behavior. Using para-social relationship (PSR), this study aims to capture viewers’ lively social feelings toward the streamer as the key factor leading to the purchase behavior of virtual gifts. It also aims to establish a theoretical link between PSR and viewers’ holistic experience in live streaming as captured by cognitive absorption and aims to investigates the role of technological features (i.e. viewer–streamer and viewer–viewer interactivity, streamer-level and viewer-level deep profiling and design aesthetics) in shaping viewers’ experience.Design/methodology/approachBased on 433 survey responses, this study employs a combination of structural equation modeling and neural networks to offer valuable insights into the relationships between the technological environment, viewer experience and viewer behavior.FindingsOur results highlight the salience of PSR in promoting the purchase of virtual gifts through cognitive absorption and the importance of the technological environment in eliciting the viewer experience. This study sheds light on the development of PSR in a technological environment and its relationship with cognitive absorption.Originality/valueBy applying PSR to conceptualize viewers’ perceived connection with the streamer, this study extends the research on purchase behavior in the non-shopping context by providing an enlightened understanding of virtual gift purchase behavior in live streaming. Moreover, by theoretically linking PSR with cognitive absorption, virtual gift purchase and technological features of live streaming, it enriches the theory of PSR and bridges the gap between the design practice of supporting the IT infrastructure of live streaming and research.

Exploring the link between walking and lung cancer risk: a two-stage Mendelian randomization analysis

BackgroundPrevious observational research showed a potential link between physical activities such as walking and the risk of lung cancer. However, Mendelian randomization (MR) studies suggested there was no association between moderate to vigorous physical activity and lung cancer risk. We speculated that specific physical activities may be associated with lung cancer risk. Consequently, we conducted an MR study to examine the potential relationship between walking and the risk of lung cancer.MethodsWe collected genetic summary data from UK Biobank. After excluding SNPs with F values less than 10 and those associated with confounding factors, we conducted a MR analysis to assess the causal effects between different types of walk and lung cancer. We also performed sensitivity analysis to validate the robustness of our findings. Finally, we analyzed the possible mediators.ResultsMR analysis showed number of days/week walked for 10 + minutes was associated with a reduced risk of lung cancer risk (OR = 0.993, 95% CI = 0.987–0.998, P = 0.009). Additionally, usual walking pace was identified as a potentially significant factor in lowering the risk (OR = 0.989, 95% CI = 0.980–0.998, P = 0.015). However, duration of walks alone did not show a significant association with lung cancer risk (OR = 0.991, 95%CI = 0.977–1.005, P = 0.216). The sensitivity analysis confirmed the robustness of these findings. And number of days/week walked for 10 + minutes could affect fed-up feelings and then lung cancer risk. There was a bidirectional relationship between usual walking pace and sedentary behaviors (time spent watching TV).ConclusionThe study unveiled a genetically predicted causal relationship between number of days/week walked for 10 + minutes, usual walking pace, and the risk of lung cancer. The exploration of potential mediators of walking phenotypes and their impact on lung cancer risk suggests that specific physical activities may reduce the risk of lung cancer.

Association of exposure to extreme rainfall events with cause-specific mortality in North Carolina, US

Extreme rainfall events could influence human health. However, the associations between extreme rainfall events and mortality remain rarely explored. Here, we conducted a time-series study using county-level mortality data in North Carolina during 2015–2018 to estimate the associations between extreme rainfall events and cause-specific mortality. We defined an extreme rainfall event as a day when a county’s daily total precipitation exceeded the 95th percentile of daily rainfall measurements from all of North Carolina’s counties during the study period. We employed a two-stage analysis where we first estimated the associations for each county and then used the estimates to obtain the state-wide associations by meta-analysis. Exposure to an extreme rainfall event was significantly associated with an increase in total, non-accidental, cardiovascular disease, respiratory disease, and external mortality by 2.24% (95% CI: 0.67%, 3.83%), 2.38% (95% CI: 0.76%, 4.03%), 3.60% (95% CI: 0.69%, 6.60%), 6.58% (95% CI: 1.59%, 11.82%), and 6.92% (95% CI: 1.28%, 12.86%), respectively. We did not find significant differences in the mortality risks within age, sex, or race groups or by seasonality. Our findings suggest that extreme rainfall events may trigger the risk of mortality, especially from non-accidental diseases such as respiratory mortality.

A Cross-national Study of Life Satisfaction: Demographics, Cognitive Age, Materialism, Fashion Innovativeness and Health Satisfaction as Correlates

This study examined the relationship between life satisfaction (LS) and its correlates, which included key demographic (age, education and family size) and psychographic (cognitive age, materialism, fashion innovativeness and health satisfaction) variables, with samples from respondents in South Korea ( N = 464), China ( N = 321) and the United States ( N = 265 ). This article represents the first attempt to examine these variables across the three countries to gain important insights into cultural variations and similarities in the determinants of LS. Two-stage regression analysis was used to examine the relationship between LS as the dependent variable and demographic and psychographic variables as the independent variables. In the first stage, data from the three countries were combined, and all independent variables and two dummy variables for possible country effects were entered into a regression model. In the second stage, separate regression models were independently fitted for the three countries. The findings of this study indicate that, for all three countries, LS was not related to age and family size but was significantly related to materialism, fashion innovativeness and health satisfaction. Health satisfaction was the most significant predictor in all three countries. LS was related to cognitive age only in South Korea, whereas LS was linked to education only in the United States. The results of the study and its business and research implications are discussed.

A Bayesian Analysis of Two-Stage Randomized Experiments in the Presence of Interference, Treatment Nonadherence, and Missing Outcomes

Three critical issues for causal inference that often occur in modern, complicated experiments are interference, treatment nonadherence, and missing outcomes. A great deal of research efforts has been dedicated to developing causal inferential methodologies that address these issues separately. However, methodologies that can address these issues simultaneously are lacking. We propose a Bayesian causal inference methodology to address this gap. Our methodology extends existing causal frameworks and methods, specifically, two-staged randomized experiments and the principal stratification framework. In contrast to existing methods that invoke strong structural assumptions to identify principal causal effects, our Bayesian approach uses flexible distributional models that can accommodate the complexities of interference and missing outcomes, and that ensure that principal causal effects are weakly identifiable. We illustrate our methodology via simulation studies and a re-analysis of real-life data from an evaluation of India’s National Health Insurance Program. Our methodology enables us to identify new active causal effects that were not identified in past analyses. Ultimately, our simulation studies and case study demonstrate how our methodology can yield more informative analyses in modern experiments with interference, treatment nonadherence, missing outcomes, and complicated outcome generation mechanisms.

The Benefits of Cross-Border Corporate Venture Capital Investment on the Likelihood of a Venture Firm’’s IPO

Purpose - Extant research indicates that CVC investments create value for venture firms and generally enhance the likelihood of a successful venture exit. In particular, despite the globalization of CVC investments, the impact on venture firm exit performance has been largely overlooked. Thus, this study explores the impact of cross-border CVC investments on the likelihood of a venture firm’s IPO. We argue that the foreignness of CVCs increases the likelihood of IPO, but this positive relationship is weakened when CVC units have a tight structure.
 Design/Methodology/Approach - The hypotheses are tested with 1,874 high-technology venture firms in the U.S. that received CVC investments between 1994 and 2009. A two-stage analysis was employed to address potential selection bias. In the first stage, we employed a probit model to predict the probability of receiving cross-border CVC investment. In the second stage, we conducted a probit regression analysis on the likelihood of IPO, incorporating the inverse Mills ratio to address selection bias.
 Findings - We found that the foreignness of CVCs increases the likelihood of a venture firm’s IPO. However, this positive impact is weakened when CVCs have a tight governance structure.
 Research Implications - This study highlights the benefits of cross-border CVC investments and enriches resource dependence theory by reconciling it with institutional theory, depicting the importance of both reducing resource constraints to create value for venture firms and the institutional logic pursued by CVCs. This study suggests that entrepreneurs should be careful with CVC units that prioritize strategic objectives.

Two-stage association study of mitochondrial DNA variants in allergic rhinitis

BackgroundCorrelations between mitochondrial DNA (mtDNA) and allergic rhinitis (AR) have not been reported before. This study aimed to better understand the mitochondrial genome profile with AR and to investigate the associations between AR in China and the mitochondrial genome at a single variant and gene level.MethodsMitochondrial sequencing was conducted on a total of 134 unrelated individual subjects (68 patients with AR, 66 healthy controls) at discovery stage. Heteroplasmy was analyzed using the Mann-Whitney U test. Sequence kernel association tests (SKAT) were conducted to study the association between mitochondrial genes and AR. Single-variant analysis was performed using logistic regression analysis and further validated in 120 subjects (69 patients with AR, 51 healthy controls). Candidate genes were further explored based on differences in mRNA and protein abundance in nasal mucosal tissue.ResultsIn the discovery stage, 886 variants, including 836 SNV and 50 indels, were identified with mitochondrial sequencing. No statistically significant differences were identified for the mitochondrial heteroplasmy or SKAT analysis between these two groups after applying a Boferroni correction. One nonsynonymous variants, rs3135028 (MT8584.G/A) in ATP6, was related to a reduced risk of AR in both the discovery and validation cohorts. Furthermore, mRNA levels of MT-ATP6 in nasal mucosal tissue were significantly lower in AR individuals than in controls (P < 0.05).ConclusionsIn a two-stage analysis of associations between AR and mtDNA variations, mitochondrial gene maps of Chinese patients with AR indicated that the ATP6 gene was probably associated with AR at the single-variant level.

A multiscale carotid plaque detection method based on two-stage analysis

To develop a method for accurate identification of multiscale carotid plaques in ultrasound images. We proposed a two-stage carotid plaque detection method based on deep convolutional neural network (SM-YOLO).A series of algorithms such as median filtering, histogram equalization, and Gamma transformation were used to preprocess the dataset to improve image quality. In the first stage of the model construction, a candidate plaque set was built based on the YOLOX_l target detection network, using multiscale image training and multiscale image prediction strategies to accommodate carotid artery plaques of different shapes and sizes. In the second stage, the Histogram of Oriented Gradient (HOG) features and Local Binary Pattern (LBP) features were extracted and fused, and a Support Vector Machine (SVM) classifier was used to screen the candidate plaque set to obtain the final detection results. This model was compared quantitatively and visually with several target detection models (YOLOX_l, SSD, EfficientDet, YOLOV5_l, Faster R-CNN). SM-YOLO achieved a recall of 89.44%, an accuracy of 90.96%, a F1-Score of 90.19%, and an AP of 92.70% on the test set, outperforming other models in all performance indicators and visual effects. The constructed model had a much shorter detection time than the Faster R-CNN model (only one third of that of the latter), thus meeting the requirements of real-time detection. The proposed carotid artery plaque detection method has good performance for accurate identification of carotid plaques in ultrasound images.

The impact of PD Check-In on self-management skills for maintenance of speech after intensive treatment.

Maintenance of speech outcomes following speech-language therapy (SLT) in Parkinson's disease (PD) is an unmet expectation of people with PD (PWPD) and poorly defined in SLT practice. PD Check-In, a model for supported self-managed maintenance of speech following Lee Silverman Voice Treatment (LSVT) LOUD was investigated. To investigate the impact of the semi-structured component of PD Check-In on the adoption of self-management concepts and behaviours and the identification of facilitators, barriers and strategies for speech maintenance by PWPD over 24 months post-treatment. Following LSVT LOUD, 16 PWPD participated in individual PD Check-In semi-structured discussions with a SLT at 6 and 12 weeks, and 6, 12 and 24 months post treatment. A two-stage qualitative content analysis was applied: directed content analysis using categories from the theoretical framework of PD Check-In followed by inductive content analysis to identify subcategories. Statements from PWPD indicated adoption of seven concepts of self-management across participants and across time. Six concepts from the theoretical framework of PD Check-In (partnerships, self-reflection, maintenance barriers and facilitators, revision of LSVT LOUD skill, goal setting and maintenance strategies), and one new category, participation, emerged from the analysis. Self-reflection, maintenance facilitators and barriers and participation were most prevalent in discussions. PWPD identified facilitators, barriers and strategies for maintenance across time points. Statements from PWPD indicated a positive impact of SLT-supported self-management of speech using self-tailored strategies for sustainable maintenance according to their individual circumstances and needs. What is already known on this subject People with Parkinson's disease (PWPD) have expressed their need for speech-language therapy (SLT) services that are accessible for the duration of the condition and responsive to their expectation of maintaining speech following treatment. Outcomes for maintenance of the treatment effect following Lee Silverman Voice Treatment (LSVT) LOUD are variable. What this paper adds to existing knowledge This study presents the outcomes of five PD Check-In interventions delivered in semi-structured discussions between PWPD and a SLT over 24 months following LSVT LOUD for the development of self-management skills and behaviours. PWPD adopted self-management positively using self-tailored strategies for sustainable maintenance according to their individual circumstances and needs. What are the potential or actual clinical implications of this work? PWPD responded positively to the individual development of self-management skills and behaviours over time. Individuality and flexible responsivity are features of PD Check-In which resonate with PWPD and speak to SLT supported self-managed maintenance of speech as a long-term model for PD.

Strategies to mitigate moral distress as reported by eldercare professionals

ABSTRACT Eldercare workers experience higher levels of moral distress than other health and social care service workers. Moral distress is a psychological response to a morally challenging event. Very little is known about moral distress in the context of eldercare and about the mechanisms of preventing or mitigating moral distress. This qualitative study was conducted as part of the “Ensuring the availability of staff and the attractiveness of the sector in eldercareservices” project in Finland in 2021. The data were from 39 semi-structured interviews. This qualitative interview data were examined using two-stage content analysis. The key finding of this study, as reported by eldercare professionals, is that strategies to mitigate moral distress can be found at all organizational levels : organizational, workplace and individual. The tools that emerged from the interviews fell into four main categories: 1) organizational support and education 2) peer support 3) improving self-care and competence and 4) defending patients. The main identified categories confirmed the earlier findings but the qualitative, rich research interview data provided new insights into a little-studied topic: mitigating moral distress in eldercare. The main conclusion is that, in order to mitigate moral distress, ethical competence needs to be strengthened at all organizational levels.

Analyzing tourism productivity changes with complex configurations

This paper explores the use of fsQCA in order to explain the productivity changes in two-stage analysis. In this way, the idea from Corne and Peypoch (2020) in the efficiency analysis framework is extended to the case of productivity indexes and indicators. An empirical illustration to the case of Chinese provinces emphasizes the complex configurations explaining tourism productivity and opens avenues for future research.

Retraction Note: efficiency evaluation of the high-tech industry chain with a two-stage data envelopment analysis approach

Retraction Note: efficiency evaluation of the high-tech industry chain with a two-stage data envelopment analysis approach

Are out-of-period adjustments a type of stealth restatement? An examination of nonaudit services and out-of-period adjustments

PurposeThe purpose of this study is to investigate the association between nonaudit services (NAS) and out-of-period adjustments (OOPAs). Over the years, the number of OOPAs has risen while the number of restatements has decreased. This could indicate an improvement in financial reporting quality. It could also indicate the use of a type of stealth restatement for opportunistic purposes. These less prominent restatements are more likely to go undetected and could perpetuate opportunistic disclosure and mitigate the likelihood of unfavorable market reactions.Design/methodology/approachThe authors use a two-stage multivariate regression analysis to examine the relationship between NAS and the reporting of an OOPA. The authors use prior research on NAS to guide the model development. The authors perform several robustness checks including different types of NAS and different characteristics of OOPAs.FindingsThe results indicate that NAS has a significantly negative association with the existence of OOPAs. The core findings suggest that NAS does not impair auditor independence. Rather, greater amounts of NAS may contribute to knowledge spillover, which leads to higher financial reporting and audit quality. The results are robust to several additional tests.Research limitations/implicationsThe results raise interesting implications for regulators, executives, auditors, investors and future research. The authors provide insight into the relationship between NAS and auditor independence.Originality/valueTo the best of the authors’ knowledge, prior research has not considered the effect of NAS on OOPAs. The authors contribute to the literature by providing evidence that OOPAs, a form of stealth restatements, is an important consideration in audit quality research.

Unveiling the Essential Role of Green Spaces during the COVID-19 Pandemic and Beyond

The COVID-19 pandemic highlighted the essential role of urban and rural green spaces for societies coping with global public health crisis. During this particular time, a significant body of research was devoted to human–nature relationships, as well as the use and importance of green spaces, both from the management and visitors’ perspectives, along with the vital role of nature in human health and wellbeing. Furthermore, the pandemic experience induced new paradigms in spatial and urban planning, along with the management of forest and protected areas seeing the crucial role of green spaces in shaping long-term socio-environmental resilience and sustainability. Thus, after the official end of the pandemic, our study aimed to provide a systematic review of the international research related to green spaces within the context of the COVID-19 pandemic, focusing on those published between 2020 and 2023. The literature search within SCOPUS and Web of Science databases was conducted on 16 May 2023. A dataset of 161 articles was analyzed using a two-stage analysis. In the first stage, screening based on the title, abstract, and keywords was carried out. In the second stage, a detailed full text analysis was carried out, resulting in a final dataset of 66 articles related to the scope of this review. This article gives an in-depth methodological and conceptual overview, also referring to the applied research and management context related to green spaces in urban and rural environments. It concludes with lessons learned and poses open questions for future research related to green space planning and management. The literature review shows that institutions managing green spaces in cities and forests are facing new challenges. These include pursuing sustainable management policies in cities, ensuring equitable access to urban green space and community participation in the decision-making process, adapting suburban forest management to social expectations, and the recreational development of forest areas taking into account social needs and ecosystem sustainability.

The Efficiency of China’s Hub Economy and Its Influencing Factors: A Two-Stage Analysis Based on the Super SBM-Malmquist-Tobit Model

Hub economy is a kind of emerging economic form. Developing a hub economy is essential to strengthen domestic and foreign connectivity and build a powerful country in transportation. This paper designs a two-stage analysis framework for the evaluation and impact study of the input-output efficiency of the hub economy based on the super SBM model, Malmquist model, and Tobit model. In the first stage, the Super SBM and Malmquist models are used to measure the static and dynamic efficiency of the hub economy. In the second stage, the Tobit model is used to analyze the factors influencing the efficiency of the hub economy. Among them, the explained variable in the second stage is the measurement result of technical efficiency in the first stage. The empirical results of 30 provinces and cities in China from 2012 to 2021 show that (1) the technical efficiency (TE), pure technical efficiency (PTE), and scale efficiency (SE) of China’s hub economy are 0.585, 0.740, and 0.820, respectively, which do not reach the effective state; (2) the technical efficiency change index (Effch), technical progress change index (Techch), and total factor productivity change index (Tfpch) of China’s hub economy are 0.994, 0.945, and 0.939, respectively, indicating that the corresponding efficiencies show a downward trend; and (3) industrial structure, innovation, and technology are significantly and positively correlated with the efficiency of the hub economy; policy and enterprises are significantly negatively correlated with the efficiency of the hub economy; and education does not correlate with the efficiency of the hub economy.

A New Resource Allocation Multiple Criteria Decision-Making Method in a Two-Stage Inverse Data Envelopment Analysis Framework for the Sustainable Development of Chinese Commercial Banks

The resource allocation of commercial banks is a multiple-criteria decision-making issue with complex internal structure, and traditional inverse data envelopment analysis cannot meet its decision-making needs. A two-stage structure with undesirable outputs is constructed to describe the operations of a Chinese commercial bank, and then a new two-stage inverse data envelopment analysis with undesirable outputs is proposed to address its resource allocation multiple criteria decision-making issue. The new method can be used to calculate the minimum input increment required to achieve the goals of desirable and undesirable output under a certain efficiency, and then a specific resource allocation plan can be obtained to promote the sustainable development of commercial banks. Finally, the new method is applied to the resource allocation of 16 Chinese listed commercial banks in 2013, and the application results fully demonstrate the effectiveness of the new method.

Financing sources, green investment, and environmental performance: Cross-country evidence

This article investigates the influence of financing sources and financial constraints on green investment, based on a study conducted with a sample of Eastern European SMEs from 2018 to 2020. We constructed a green investment proxy using principal component analysis, revealing two principal pillars: pure green investment and mixed green investment. Employing two-stage least squares regression analysis (2SLS) and instrumental probit (IV Probit), our results demonstrate that internal finance positively impacts green investment. Conversely, we find that leverage and financial constraints negatively correlate with green investment and environmental performance. The findings of this study provide compelling evidence that SMEs operating in the Eastern European region face significant financial constraints, impeding their ability to adopt responsible investments aimed at reducing their considerable environmental footprints. These results hold valuable implications for both managers and policymakers, emphasizing the importance of facilitating increased access to debt and devising green financial incentives to promote environmentally responsible investments among Eastern European SMEs, particularly during periods of conflicts.

Large-Signal Stability Analysis of Two-Stage Cascaded DC/DC Converter Systems Using Sum-of-Squares Programming

Large-Signal Stability Analysis of Two-Stage Cascaded DC/DC Converter Systems Using Sum-of-Squares Programming