Recent Innovative Studies Research Articles

The double-edged sword effect of social media usage on new product development performance: evidence from Chinese firms

PurposeResearch on social media frequently analyze social media usage (SMU)'s positive consequences for organizations and individuals; however, recent innovation studies caution that SMU may not always lead to positive new product development (NPD) outcomes. The competing streams of research highlight a fundamental tension that exists in the social media literature exemplified by the question: Is SMU good or bad for NPD? In this manuscript, the authors suggest that a more appropriate question as follows: What are the positive and negative indirect effects of SMU on NPD performance? The purpose of this paper is to discuss the aforementioned points in detail.Design/methodology/approachA literature review provides the model and hypotheses. Using a sample of 168 Chinese firms, the authors conducted an empirical test following multiple regression analysis.FindingsThe results demonstrate that SMU facilitates business analytics (ability) and social legitimacy (opportunity) but impairs entrepreneurial proclivity (motivation). These three constructs in turn mediate the effect of SMU on NPD performance. Moreover, this paper explores how technological turbulence moderates SMU's effects on business analytics, entrepreneurship proclivity and social legitimacy.Research limitations/implicationsThe results may be affected by both the context (solely in China) and type (cross-sectional) of the data set. Future research might take a decompositional approach to study SMU's effect on innovation in different NPD stages. Furthermore, with widely varying purposes (e.g., marketing, information searching, partner collaboration, new product launch, etc.), there is certainly a need for more clarity and understanding of how firms can leverage each of these different social media activities for successful NPD.Practical implicationsFirst, we suggest that managers in China should be explicitly aware of the double-edged sword effect of SMU on NPD performance. Second, this study encourages managers to use social media carefully when technological turbulence becomes intense.Originality/valueDrawing on the ability–motivation–opportunity framework, this is one of the first studies to simultaneously examines the benefits and costs of SMU for NPD. In addition, this paper bridges the separate literatures on social media, business analytics, entrepreneurial proclivity and social legitimacy and contributes to the NPD research.

Five strategy shifts for innovation

PurposeIn an era where competitive landscapes are changing dynamically, traditional strategic approaches are no longer delivering the value required to support growth in many organizations. In response, many organizations have pursued an innovation agenda, but with mixed results. This paper offers five implementation “shifts” for more effective strategy execution.Design/methodology/approachBased on two recent global innovation studies, five strategy shifts were identified, permitting organizations to amplify their strategy without having to completely abandon current methods. These shifts were derived by analyzing the most polarizing differences between high innovative organizations and low innovative organizations in the global innovation studies.FindingsThe five strategy shifts include the engagement in innovation culture management, strategic external collaborations, advanced technologies, innovation methodologies, and measurement of innovation.Originality/valueExamples of how organizations can operationalize strategy shifts are provided so executives can increase innovativeness and see how traditional strategic approaches fall short.

Botulinum Toxin in Movement Disorders: An Update.

Since its initial approval in 1989 by the US Food and Drug Administration for the treatment of blepharospasm and other facial spasms, botulinum toxin (BoNT) has evolved into a therapeutic modality for a variety of neurological and non-neurological disorders. With respect to neurologic movement disorders, BoNT has been reported to be effective for the treatment of dystonia, bruxism, tremors, tics, myoclonus, restless legs syndrome, tardive dyskinesia, and a variety of symptoms associated with Parkinson’s disease. More recently, research with BoNT has expanded beyond its use as a powerful muscle relaxant and a peripherally active drug to its potential central nervous system applications in the treatment of neurodegenerative disorders. Although BoNT is the most potent biologic toxin, when it is administered by knowledgeable and experienced clinicians, it is one of the safest therapeutic agents in clinical use. The primary aim of this article is to provide an update on recent advances in BoNT research with a focus on novel applications in the treatment of movement disorders. This comprehensive review of the literature provides a critical review of evidence-based clinical trials and highlights recent innovative pilot studies.

Adult Day Services as a Platform for Innovation: Moving Beyond Simply Attendance

At the most basic level, adult day services (ADS) provide a congregate environment for participants and respite for caregivers. Researchers often evaluate the impact of ADS on participants and caregivers in terms of attendance; however, what happens in ADS (e.g., specific programs and interventions) may be equally or even more important than simply attendance. In this presentation, we review four recent innovative studies conducted in the ADS setting with participants: (a) a board game intervention to improve cognitive functioning; (b) a cognitive behavioral intervention to improve sleep; (c) an aromatherapy intervention to address behavioral issues; and (d) a dance and movement intervention to stimulate physical activity. While these interventions had varying levels of effectiveness, they do support a growing body of evidence that ADS can serve as a platform for innovation and suggest that attendance may be simply one facet of the overall ADS experience.

Toxic Gaslighting: On the Ins and Outs of Pollution

Outdoor images predominate in cultural conceptions of “air pollution,” whilst indoor air quality (IAQ) is typically tenfold more contaminated. Recent nonprofit research revealed that “green label” carpet contains up to 44 hazardous substances. How and why do school administrators not know this? When people speak colloquially about “toxic” schools, they typically refer to social environments whose power dynamics are manipulated by difficult people (bullies, narcissists, gaslighters, etc.). In this article, I borrow the cultural concept of gaslighting to query how and why the literal off-gassing of banal objects like carpet have escaped scientific inquiry. In dialogue with recent innovative air studies in California that blur the boundaries of in/outdoor pollution, this auto-ethnographic paper chronicles a carpet controversy at “Beacon” Elementary, a bilingual school in the Central Valley. Even as outdoor smoke from California wildfires in 2017 pushed PM2.5 levels past red into unprecedented magenta alerts, children were sickened inside school classrooms after new carpets were laid in 2017. By “outing” internal school board communication through repeated public records requests, Beacon mothers discovered how a chemical risk manager on the board manipulated confusion about patterns of pollution to dismiss the mothers’ citizen science of the chemical abuse of their children. When pollution occurs out-of-sight (in locked classrooms) or affects groups rarely studied in exposure (minors), institutions can easily deploy gaslighting techniques of doubt, denial, and disavowal of the chemical abuse of children. Given the slow (Nixon 2011), delayed, incremental, and “gaslighted” nature of modern chemical violence, even those harmed by chronic pollution may misrecognize the symptoms; those that do recognize the symptoms may be perceived or portrayed as delusional in stories worthy of Hollywood noir.

From Synapse to Function: A Perspective on the Role of Neuroproteomics in Elucidating Mechanisms of Drug Addiction.

Drug addiction is a complex disorder driven by dysregulation in molecular signaling across several different brain regions. Limited therapeutic options currently exist for treating drug addiction and related psychiatric disorders in clinical populations, largely due to our incomplete understanding of the molecular pathways that influence addiction pathology. Recent work provides strong evidence that addiction-related behaviors emerge from the convergence of many subtle changes in molecular signaling networks that include neuropeptides (neuropeptidome), protein-protein interactions (interactome) and post-translational modifications such as protein phosphorylation (phosphoproteome). Advancements in mass spectrometry methodology are well positioned to identify these novel molecular underpinnings of addiction and further translate these findings into druggable targets for therapeutic development. In this review, we provide a general perspective of the utility of novel mass spectrometry-based approaches for addressing critical questions in addiction neuroscience, highlighting recent innovative studies that exemplify how functional assessments of the neuroproteome can provide insight into the mechanisms of drug addiction.

Profiling Regional Innovation Ecosystems as Functional Collaborative Systems: The Case of Cambridge

IntroductionChanging realities in innovation ecosystems challenge the next generation of development processes for innovation environments at all levels. According to findings in the most recent innovation studies, discussion on closed national innovation systems is rather artificial, while new scientific knowledge and technological inventions are generated in almost purely

Recent advances in explaining hedge fund returns: Implicit factors and exposures

We survey articles covering how hedge fund returns are explained, using largely non-linear multifactor models that examine the non-linear pay-offs and exposures of hedge funds. We provide an integrated view of the implicit factor and statistical factor models that are largely able to explain the hedge fund return-generating process. We present their evolution through time by discussing pioneering studies that made a significant contribution to knowledge, and also recent innovative studies that examine hedge fund exposures using advanced econometric methods. This is the first review that analyzes very recent studies that explain a large part of hedge fund variation. We conclude by presenting some gaps for future research.

Genomic predictors for treatment of late stage prostate cancer.

In spite of the development of new treatments for late stage prostate cancer, significant challenges persist to match individuals with effective targeted therapies. Genomic classification using high-throughput sequencing technologies has the potential to achieve this goal and make precision medicine a reality in the management of men with castrate-resistant prostate cancer. This chapter reviews some of the most recent studies that have resulted in significant progress in determining the landscape of somatic genomic alterations in this cohort and, more importantly, have provided clinically actionable information that could guide treatment decisions. This chapter reviews the current understanding of common alterations such as alterations of the androgen receptor and PTEN pathway, as well as ETS gene fusions and the growing importance of PARP inhibition. It also reviews recent studies that characterize the evolution to neuroendocrine tumors, which is becoming an increasingly important clinical problem. Finally, this chapter reviews recent innovative studies that characterize the compelling evolutionary history of lethal prostate cancer evidenced by polyclonal seeding and interclonal cooperation between metastasis and the importance of tumor clone dynamics measured serially in response to treatment. The genomic landscape of late stage prostate cancer is becoming better defined, and the prospect for assigning clinically actionable data to inform rationale treatment for individuals with this disease is becoming a reality.

Recent advances in hedge funds' performance attribution: Performance persistence and fundamental factors

We survey articles on hedge funds' performance persistence and fundamental factors from the mid-1990s to the present. For performance persistence, we present some pioneering studies that contradict previous findings that hedge funds' performance is a short term matter. We discuss recent innovative studies that examine the size, age, performance fees and other factors to give a 360° view of hedge funds' performance attribution. Small funds, younger funds and funds with high performance fees all outperform the opposite. Long lockup period funds tend to outperform short lockups and domiciled funds tend to outperform offshore funds. This is the first survey of recent innovative and challenging studies into hedge funds' performance attribution, and it should be particularly useful to investors trying to choose between hedge funds.

Cancer therapy using non-thermal atmospheric pressure plasma with ultra-high electron density

Cancer therapy using non-thermal atmospheric pressure plasma is a big challenge in plasma medicine. Reactive species generated from plasma are key factors for treating cancer cells, and thus, non-thermal atmospheric pressure plasma with high electron density has been developed and applied for cancer treatment. Various cancer cell lines have been treated with plasma, and non-thermal atmospheric plasma clearly has anti-tumor effects. Recent innovative studies suggest that plasma can both directly and indirectly affect cells and tissues, and this observation has widened the range of applications. Thus, cancer therapy using non-thermal atmospheric pressure plasma is promising. Animal experiments and understanding the mode of action are essential for clinical application in the future. A new academic field that combines plasma science, the biology of free radicals, and systems biology will be established.

Households forming macroeconomic expectations: inattentive behavior with social learning

AbstractThere has been a heightened interest in how households form their macroeconomic expectations. Recent innovative studies have shown that households form their expectations by observing professionals’ forecasts albeit imperfectly. Such inattentive behavior has been used to explain inflation dynamics. The purpose of the present paper is to provide further microfoundations to the “sticky information” expectations model by incorporating social learning between households. Here, social learning is modeled through spatial local interactions: households learn from their neighbors as they form their expectations. We show the convergence of households’ expectations depends on the rate of absorbing the professional’s forecasts and the interaction rate with neighbors but also on the spatial variability of the cross-section expectation distribution. The analysis also distinguishes between active and passive households as the latter do not have access to the professional’s forecast or prefer to learn from others, such as the active households. We show that the social interactions between active and passive households can lead to non-monotonic convergence. Finally, while our model with active agents is able to match only the mean inflation expectation of the Michigan survey, our model with active and passive agents is able to replicate both the first and the second moments of the inflation expectations observed in the survey.

The three-body problem of therapy with induced pluripotent stem cells.

Regenerative medicine has a three-body problem: alignment of the dynamics of the genome, stem cell and patient. Focusing on the rare inherited fragile skin disorder epidermolysis bullosa, three recent innovative studies have used induced pluripotent stem cells and gene correction, revertant mosaicism or genome editing to advance the prospects of better cell-based therapeutics to restore skin structure and function for epidermolysis bullosa and potentially other inherited diseases.

Recent Advances in Explaining Hedge Fund Returns: Implicit Factors and Exposures

We survey articles covering how hedge funds returns are explained, using linear and non-linear multifactor models that examine hedge funds as option portfolios or indices. We provide an integrated view of the implicit factor and the statistical factor models that are largely able to explain hedge funds returns. We present their evolution through time by discussing pioneering studies that made a significant contribution to knowledge, and also recent innovative studies that examine hedge funds exposures using advanced econometric methods. This is the first review that analyzes very recent studies that explain a large part of hedge fund variation. We conclude by presenting some gaps for future research.

Spatial–Relational Mapping in Socio-Institutional Perspectives of Innovation

In recent years innovation studies have extended key discussions beyond scientific knowledge into more symbolic and cultural forms, and with it brought cultural and creative industries to the centre stage of economic innovation. However, the development of more wide-ranging research approaches has failed to keep pace with the advancements occurring in conceptual debates. In this paper, the author draws on the original arguments of the social innovation discourse to highlight the importance of more socialized approaches to the study of innovation, an approach which highlights the importance of understanding more about social networks, local institutions, local scenes and environments, and relational capital. It is known that in practice, and especially with non-scientific knowledge, new ideas are mediated by social relations, institutions and all manner of other intangibles such as conversations; all of which are acknowledged in some literature but have never been part of the mainstream. In this vein, the paper outlines the contribution that spatial–relational mapping can make to the study of innovation by illuminating the social spaces of innovation in and around Coventry and Birmingham, UK, and by raising new patterns of relationships, which emphasize the existence of sector convergence, underground scenes and path lock-in.

Between Communicative Interaction and Structures of Signification: Discourse Theory and Analysis in International Relations

This paper discusses contemporary engagement with the theory and analysis of discourse in international relations. It argues that discourse understood as “meaning in use” has emerged as one of the core concepts in constructivist scholarship, being of tremendous theoretical and analytical value. The paper identifies two distinct types of discourse analysis around which most contributions in this field converge: micro-interactional approaches that emphasize the communicative, pragmatic aspects of discourse and macro-structural approaches focusing on discourse as structures of signification. What unites these studies is their interest in the diffuse power relationships that characterize social interaction in international politics and the productive effects of power that the term “discourse” serves to underline. Through a combination of these two different strands of discourse research, with two different conceptualizations of power (deliberative and productive), the paper develops a taxonomy of discourse approaches that reflects four distinct variants of discourse research. These variants are illustrated by means of an in-depth discussion of recent innovative studies. In conclusion, the paper points to a number of limitations in the present conceptualization of power through discourse as well as in terms of the uneasy combination of positivist epistemology and constructivist ontology in much empirical discourse research. Discussing the overlap between discourse and practice scholarship, the paper sketches future directions for research in this field.

Rhetorical Persuasion for Widespread Adoption: Creating a Compelling Cognitive-Institutional Account

Recent innovation studies point out the importance of cognitive-institutional accounts, or collective adoption rationales, to guide innovation adoption among organizations. Yet, to be effective, a ...

Technology Confidence in Early Stage Development of Medical Devices

Innovation is a critical factor in ensuring commercial success within the area of medical technology. Biotechnology and Healthcare developments require huge financial and resource investment, in-depth research and clinical trials. Consequently, these developments involve a complex multidisciplinary structure, which is inherently full of risks and uncertainty. In this context, early technology assessment and ‘proof of concept’ is often sporadic and unstructured. Existing methodologies for managing the feasibility stage of medical device development are predominantly suited to the later phases of development and favour detail in optimisation, validation and regulatory approval. During these early phases, feasibility studies are normally conducted to establish whether technology is potentially viable. However, it is not clear how this technology viability is currently measured. This paper aims to redress this gap through the development of a technology confidence scale, as appropriate explicitly to the feasibility phase of medical device design. These guidelines were developed from analysis of three recent innovation studies within the medical device industry.

The impact of technological innovation capabilities on innovation performance

PurposeRecent studies have advocated the impact of technological innovation capabilities (TIC) on firms' competitive performances. This paper adopts a study framework of innovation audit to examine the relevance of TIC on the innovation performance of the electronics industry in Hong Kong (HK)/Pearl River Delta region.Design/methodology/approachEmpirical data were acquired through a recent survey of electronics firms in the region. Pearson correlation and regression analysis were employed to examine the relationship between TIC and innovation performance.FindingsThe results verify that R&D, resource allocation, learning, and strategy planning capabilities can significantly improve the innovation sales. R&D and resource allocation capabilities can also significantly improve new product introduction.Research limitations/implicationsThe paper contributes to existing literature by studying the impact of TIC on innovation performance in HK. It also explores two out of seven TIC – R&D and resource allocation capabilities – to improve firms' innovation performance in the region.Originality/valueThis paper is one of very few that provide empirical evidence of the TIC and innovation performance in HK. It also revisits the audit framework proposed by recent innovation studies, which helps theoretical development.

Snake mitochondrial genomes: phylogenetic relationships and implications of extended taxon sampling for interpretations of mitogenomic evolution

BackgroundSnake mitochondrial genomes are of great interest in understanding mitogenomic evolution because of gene duplications and rearrangements and the fast evolutionary rate of their genes compared to other vertebrates. Mitochondrial gene sequences have also played an important role in attempts to resolve the contentious phylogenetic relationships of especially the early divergences among alethinophidian snakes. Two recent innovative studies found dramatic gene- and branch-specific relative acceleration in snake protein-coding gene evolution, particularly along internal branches leading to Serpentes and Alethinophidia. It has been hypothesized that some of these rate shifts are temporally (and possibly causally) associated with control region duplication and/or major changes in ecology and anatomy.ResultsThe near-complete mitochondrial (mt) genomes of three henophidian snakes were sequenced: Anilius scytale, Rhinophis philippinus, and Charina trivirgata. All three genomes share a duplicated control region and translocated tRNALEU, derived features found in all alethinophidian snakes studied to date. The new sequence data were aligned with mt genome data for 21 other species of snakes and used in phylogenetic analyses. Phylogenetic results agreed with many other studies in recovering several robust clades, including Colubroidea, Caenophidia, and Cylindrophiidae+Uropeltidae. Nodes within Henophidia that have been difficult to resolve robustly in previous analyses remained uncompellingly resolved here. Comparisons of relative rates of evolution of rRNA vs. protein-coding genes were conducted by estimating branch lengths across the tree. Our expanded sampling revealed dramatic acceleration along the branch leading to Typhlopidae, particularly long rRNA terminal branches within Scolecophidia, and that most of the dramatic acceleration in protein-coding gene rate along Serpentes and Alethinophidia branches occurred before Anilius diverged from other alethinophidians.ConclusionsMitochondrial gene sequence data alone may not be able to robustly resolve basal divergences among alethinophidian snakes. Taxon sampling plays an important role in identifying mitogenomic evolutionary events within snakes, and in testing hypotheses explaining their origin. Dramatic rate shifts in mitogenomic evolution occur within Scolecophidia as well as Alethinophidia, thus falsifying the hypothesis that these shifts in snakes are associated exclusively with evolution of a non-burrowing lifestyle, macrostomatan feeding ecology and/or duplication of the control region, both restricted to alethinophidians among living snakes.